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Highly on-target dedicated genomics-AI workshop.","featured":false},{"id":"probgen-2026-03","name":"Probabilistic Modeling in Genomics (ProbGen) 2026","short_name":"ProbGen 2026","type":"conference","status":"past","domains":["genomics_bioinformatics","computational_science","biology"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-03-25","end":"2026-03-28","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Berkeley","country":"United States","country_code":"US","venue":"Li Ka Shing Center, UC Berkeley","virtual_url":null},"description":"Conference on probabilistic and statistical modeling in genomics and population genetics, hosted by UC Berkeley's Center for Computational Biology. Concluded within the last 90 days.","url":"https://probgen2026.github.io/","organizers":["Center for Computational Biology, UC Berkeley","Center for Theoretical and Evolutionary Genomics, UC Berkeley"],"key_speakers":[],"topics":["probabilistic modeling","population genetics","statistical genomics","machine learning","evolutionary genomics"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://probgen2026.github.io/","https://na.eventscloud.com/850597"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Concluded March 25-28, 2026; included within 90-day window.","featured":false},{"id":"ml4rs-iclr-2026-04","name":"4th ICLR Workshop on Machine Learning for Remote Sensing","short_name":"ML4RS","type":"workshop","status":"past","domains":["earth_sciences","climate_weather","ecology_environment","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-04-27","end":"2026-04-27","submission_deadline":"2026-02-06","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Rio de Janeiro","country":"Brazil","country_code":"BR","venue":"Riocentro Convention Center, Room 212 (ICLR 2026)","virtual_url":null},"description":"ICLR 2026 workshop on machine learning for remote sensing and geospatial earth observation, themed 'From Publication to Practice.' Covers foundation models, benchmarking, and interpretability with applications to climate, biodiversity, agriculture, and food security.","url":"https://ml-for-rs.github.io/iclr2026/","organizers":["Esther Rolf (University of Colorado Boulder)","Bianca Zadrozny (IBM)","Hannah Kerner (Arizona State University)","Marc Russwurm (University of Bonn)","Evan Shelhamer (University of British Columbia)","Gabriel Tseng (AI2)","Ronny Hansch (DLR/GRSS)","Hamed Alemohammad (Clark University)"],"key_speakers":["Gilberto Camara","Beth Tellman","Anthony Fuller","Antonio Belchior Anciaes Ferraz","Dario Augusto Borges Oliveira"],"topics":["remote sensing","earth observation","geospatial foundation models","land cover","agriculture","climate and biodiversity monitoring"],"parent_conference":"ICLR 2026","registration_fee":"paid","source_urls":["https://iclr.cc/virtual/2026/events/workshop","https://ml-for-rs.github.io/iclr2026/","https://iclr.cc/virtual/2026/workshop/10000803"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"gram-iclr-2026-04","name":"Geometry-grounded Representation Learning and Generative Modeling (GRaM)","short_name":"GRaM","type":"workshop","status":"past","domains":["cross_disciplinary","computational_science","physics","chemistry"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-04-26","end":"2026-04-26","submission_deadline":"2026-02-05","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Rio de Janeiro","country":"Brazil","country_code":"BR","venue":"Riocentro Convention Center, Room 101 A (ICLR 2026)","virtual_url":null},"description":"ICLR 2026 workshop on geometry-grounded representation learning and generative modeling, covering equivariant operators, non-Euclidean generative models, and differential geometry. A methods workshop with substantial scientific applications in molecular/3D modeling and physics (including a fluid-dynamics challenge).","url":"https://gram-workshop.github.io/","organizers":["Erik Bekkers","Sekou-Oumar Kaba","Hannah Lawrence","Manuel Lecha","Elizabeth Baker","Julian Suk","Robin Walters","Jakub Tomczak","Stefanie Jegelka"],"key_speakers":["Kathlen Kohn","Gabriel Loaiza-Ganem","Anthea Monod","Maya Bechler-Speicher","Nicholas Boffi"],"topics":["geometric deep learning","equivariance","non-Euclidean generative models","differential geometry","molecular and 3D modeling","physics-inspired learning"],"parent_conference":"ICLR 2026","registration_fee":"paid","source_urls":["https://iclr.cc/virtual/2026/events/workshop","https://gram-workshop.github.io/","https://iclr.cc/virtual/2026/workshop/10000809"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"medium","review_flag":true,"community_notes":"Geometric/representation-learning methods workshop rather than a single science domain; included for its strong molecular, materials, structural-biology, and physics applications. Flagged for editorial review on whether to keep given the methods-first scope.","featured":false},{"id":"camml-school-2026-04","name":"CaMML - Chemistry and Materials Machine Learning School 2026","short_name":"CaMML 2026","type":"summer_school","status":"past","domains":["materials_science","chemistry","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-04-13","end":"2026-04-17","submission_deadline":null,"notification_date":"2025-12-19","registration_opens":null,"registration_deadline":"2026-01-15","abstract_deadline":null},"location":{"city":"Daresbury","country":"United Kingdom","country_code":"GB","venue":"STFC Daresbury Laboratory (CECAM-UK-DARESBURY)","virtual_url":null},"description":"An international training school in machine learning for materials and molecular simulation, aimed at PhD students with coding experience but limited ML background, covering ML fundamentals, machine-learned interatomic potentials, graph neural networks, generative models, and foundation-model potentials.","url":"https://spring2026.camml.ac.uk/","organizers":["Keith Butler (UCL)","Alin Elena (STFC)","Alex Ganose (Imperial)","Ioan-Bogdan Magdau (Newcastle)","Reinhard Maurer (Warwick)","CECAM","Psi-k"],"key_speakers":[],"topics":["machine learning fundamentals","machine-learned interatomic potentials","graph neural networks","generative models","foundation model potentials","de novo molecular design"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://spring2026.camml.ac.uk/","https://www.cecam.org/workshop-details/camml-chemistry-and-materials-machine-learning-school-1548","https://www.sc.stfc.ac.uk/events/camml-chemistry-and-materials-machine-learning-school/"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Concluded April 13-17, 2026 (within 90-day window). CECAM/Psi-k supported.","featured":false},{"id":"tms-annual-2027-03","name":"2027 TMS Annual Meeting & Exhibition (156th)","short_name":"TMS 2027","type":"conference","status":"confirmed","domains":["materials_science"],"ai_focus":"minor_track","format":"in_person","audience":"mixed","dates":{"start":"2027-03-14","end":"2027-03-18","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Orlando","country":"United States","country_code":"US","venue":"Orlando World Center Marriott","virtual_url":null},"description":"Annual meeting of the Minerals, Metals & Materials Society bringing together 4,000+ professionals, with cross-disciplinary symposia spanning machine learning, AI, computational modeling, and materials informatics across metals and materials.","url":"https://www.tms.org/TMS2027/TMS2027/Default.aspx","organizers":["The Minerals, Metals & Materials Society (TMS)"],"key_speakers":[],"topics":["machine learning for materials","artificial intelligence","computational modeling","materials informatics","ICME"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.tms.org/TMS2027/TMS2027/Default.aspx","https://www.programmaster.org/PM/PM.nsf/MeetingInfo?OpenForm=&ConfDocKey=A79798B673220E9885258B13005BB1F5"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"AI/ML is a recurring minor track within the broader materials program rather than a dedicated focus.","featured":false},{"id":"ipam-ai-materials-2027-09","name":"Artificial Intelligence in Materials Science (IPAM Long Program)","short_name":"IPAM AI Materials 2027","type":"other","status":"confirmed","domains":["materials_science","computational_science","physics"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2027-09-13","end":"2027-12-17","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Los Angeles","country":"United States","country_code":"US","venue":"Institute for Pure and Applied Mathematics (IPAM), UCLA","virtual_url":null},"description":"A semester-long IPAM research program embedding modern machine learning into materials simulation, theory, and experiment, spanning ML with electronic structure, generative AI for inverse materials design, self-driving laboratories, and physics-informed ML.","url":"https://www.ipam.ucla.edu/programs/long-programs/artificial-intelligence-in-materials-science/","organizers":["IPAM (UCLA)","Steve Brunton (UW)","Bingqing Cheng (UC Berkeley)","Gabor Csanyi (Cambridge)","Aditi Krishnapriyan (UC Berkeley)","Anatole von Lilienfeld (Toronto)","Kostya Novoselov (Manchester)"],"key_speakers":[],"topics":["machine learning for electronic structure","generative AI for inverse design","self-driving laboratories","physics-informed ML","machine-learned interatomic potentials"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.ipam.ucla.edu/programs/long-programs/artificial-intelligence-in-materials-science/"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Long program (Sept-Dec 2027); typically includes a series of associated workshops with separate applications.","featured":false},{"id":"aitp-2026-08","name":"11th Conference on Artificial Intelligence and Theorem Proving","short_name":"AITP'26","type":"conference","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-08-30","end":"2026-09-04","submission_deadline":"2026-05-12","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-05-12"},"location":{"city":"Aussois","country":"France","country_code":"FR","venue":"CNRS Paul-Langevin Conference Center","virtual_url":null},"description":"Yearly meeting where researchers in AI, automated reasoning, machine learning, computer-understandable mathematics, and proof assistants discuss progress on automation of reasoning, mathematics, and science.","url":"http://aitp-conference.org/2026/","organizers":["Georges Gonthier (INRIA)","Cezary Kaliszyk (University of Melbourne)","Josef Urban (Czech Technical University in Prague)"],"key_speakers":[],"topics":["AI and big-data methods in theorem proving and mathematics","interactive and automated theorem proving","formal verification of AI/ML algorithms","large-scale computer understanding of mathematics","common-sense reasoning"],"parent_conference":null,"registration_fee":"paid","source_urls":["http://aitp-conference.org/2026/","https://aitp-conference.org/"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"cicm-2026-09","name":"19th Conference on Intelligent Computer Mathematics","short_name":"CICM 2026","type":"conference","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-21","end":"2026-09-25","submission_deadline":"2026-04-15","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-03-25"},"location":{"city":"Ljubljana","country":"Slovenia","country_code":"SI","venue":null,"virtual_url":null},"description":"Conference on intelligent computer mathematics spanning formal mathematics, interactive and automated theorem proving, computer algebra, and an explicit track on AI and LLMs in mathematics.","url":"https://cicm-conference.org/2026/","organizers":["Adam Naumowicz (University of Bialystok)","Martina Seidl (JKU Linz)"],"key_speakers":[],"topics":["formal mathematics","interactive theorem proving","automated theorem proving","AI and LLMs in mathematics","computer algebra systems","machine learning systems"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://cicm-conference.org/2026/","https://cicm-conference.org/2026/cicm.php?event=&menu=cfp"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"aipv-fm-2026-05","name":"1st Workshop on AI, Proof and Verification","short_name":"AIPV 2026","type":"workshop","status":"past","domains":["mathematics","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-05-18","end":"2026-05-19","submission_deadline":"2026-03-15","notification_date":"2026-04-15","registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Tokyo","country":"Japan","country_code":"JP","venue":"Hitotsubashi Hall","virtual_url":null},"description":"Workshop co-located with FM 2026 bridging the AI/ML community and the logic, theorem proving, and verification communities, assessing AI/LLM approaches for rigorous, sound, and trustworthy reasoning.","url":"https://aipvconf.org/","organizers":["Yutaka Nagashima (Czech Academy of Sciences)","Jonathan Julian Huerta y Munive (Aalborg University)","Andreea Costea (TU Delft)","Stefan Ratschan (Czech Academy of Sciences)"],"key_speakers":[],"topics":["AI/LLM for rigorous reasoning","neural theorem proving","formal verification","AI-assisted formal reasoning","soundness and trustworthiness"],"parent_conference":"Formal Methods (FM) 2026","registration_fee":"paid","source_urls":["https://aipvconf.org/","https://aipv2026.github.io/","https://easychair.org/cfp/AIPV2026"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Workshop dates confirmed May 18-19 2026; parent conference FM 2026 runs May 18-22 in Tokyo.","featured":false},{"id":"doxml-2026-07","name":"Eighth Conference on Discrete Optimization and Machine Learning","short_name":"DO x ML 2026","type":"conference","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-07-13","end":"2026-07-16","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Tokyo","country":"Japan","country_code":"JP","venue":"Institute of Science Tokyo (formerly Tokyo Tech)","virtual_url":null},"description":"Conference at the interface of discrete/mathematical optimization and machine learning, covering integer programming, neural networks, and optimization algorithms with ML applications.","url":"https://doml.zib.de/","organizers":["Antoine Deza","Kazuhide Nakata","Sebastian Pokutta","Akiyoshi Shioura"],"key_speakers":["Elad Hazan","Gitta Kutyniok","Marco Cuturi","Masashi Sugiyama","Jon Lee"],"topics":["integer and mixed-integer optimization","machine learning and neural networks","discrete optimization algorithms","convex and nonconvex optimization","optimization for ML"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://doml.zib.de/"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"siam-op26-2026-06","name":"SIAM Conference on Optimization (OP26)","short_name":"SIAM OP26","type":"conference","status":"past","domains":["mathematics","computational_science"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-06-02","end":"2026-06-05","submission_deadline":"2025-11-13","notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-05","abstract_deadline":"2025-11-13"},"location":{"city":"Edinburgh","country":"United Kingdom","country_code":"GB","venue":"University of Edinburgh","virtual_url":null},"description":"Flagship SIAM conference on optimization theory, algorithms, software, and applications, with substantial minisymposium content at the optimization-machine learning interface.","url":"https://www.siam.org/conferences-events/siam-conferences/op26/","organizers":["Society for Industrial and Applied Mathematics (SIAM)"],"key_speakers":[],"topics":["optimization theory","algorithms","machine learning for optimization","convex and nonconvex optimization","applications"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.siam.org/conferences-events/siam-conferences/op26/","https://www.siam.org/conferences-events/siam-conferences/op26/submissions/"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Concluded June 5 2026, within the 90-day window. General optimization conference with ML at minisymposium level only.","featured":false},{"id":"lftcm-cortona-2026-09","name":"INdAM Meeting: Lean for the Curious Mathematician 2026","short_name":"LftCM 2026","type":"summer_school","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-07","end":"2026-09-11","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-10","abstract_deadline":null},"location":{"city":"Cortona","country":"Italy","country_code":"IT","venue":"Palazzone di Cortona (Scuola Normale Superiore)","virtual_url":null},"description":"Hands-on instructional meeting on the Lean proof assistant and its mathlib4 library, with tutorials, projects, and research talks on formalization and proof verification, including AI-assisted autoformalization.","url":"https://amosturchet.github.io/lftcm26/index.html","organizers":["Fabrizio Barroero","Laura Capuano","Alessandro Iraci","Giovanni Paolini","Amos Turchet","Francesco Veneziano"],"key_speakers":[],"topics":["Lean proof assistant","mathlib4","formalization of mathematics","proof verification","autoformalization"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://amosturchet.github.io/lftcm26/index.html","https://leanprover-community.github.io/events.html"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Primarily formal-methods focused; AI/autoformalization is one strand. Borderline AI-for-science scope -- tagged major_track.","featured":false},{"id":"lean-summer-school-pitt-2026-06","name":"Summer School on Formalization in Lean","short_name":null,"type":"summer_school","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"student_focused","dates":{"start":"2026-06-29","end":"2026-07-03","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Pittsburgh","country":"United States","country_code":"US","venue":"University of Pittsburgh","virtual_url":null},"description":"Summer school introducing students to formalized mathematics with the Lean interactive proof assistant, including metaprogramming and autoformalization, culminating in small-group formalization projects.","url":"https://icarm.io/project/summer_school_formalization/","organizers":["ICARM"],"key_speakers":[],"topics":["Lean proof assistant","formalized mathematics","metaprogramming","autoformalization","mathlib"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://icarm.io/project/summer_school_formalization/","https://leanprover-community.github.io/events.html"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"medium","review_flag":false,"community_notes":"Exact dates per Lean community events list (June 29 - July 3 2026). Autoformalization is one strand of an otherwise formal-methods school.","featured":false},{"id":"icerm-ttfa-2026-05","name":"Techniques and Tools for the Formalization of Analysis","short_name":"ICERM TTFA 2026","type":"workshop","status":"past","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-05-11","end":"2026-05-15","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-01-24","abstract_deadline":null},"location":{"city":"Providence","country":"United States","country_code":"US","venue":"ICERM, Brown University, 121 South Main Street","virtual_url":null},"description":"ICERM topical workshop on formalizing analysis in proof assistants, including dedicated sessions on AI-assisted autoformalization (e.g. Math Inc's Gauss agent and autoformalization at scale).","url":"https://icerm.brown.edu/program/topical_workshop/tw-26-ttfa","organizers":["Javier Gomez Serrano (Brown)","Jireh Loreaux (SIU Edwardsville)","Heather Macbeth (Imperial College London)","Patrick Massot (Universite Paris-Saclay)","Terence Tao (UCLA)"],"key_speakers":["Jared Duker Lichtman"],"topics":["formalization of analysis","proof assistants","AI-assisted autoformalization","autoformalization at scale"],"parent_conference":null,"registration_fee":"free","source_urls":["https://icerm.brown.edu/program/topical_workshop/tw-26-ttfa"],"last_verified":"2026-06-09","added_date":"2026-06-09","confidence":"high","review_flag":false,"community_notes":"Concluded May 15 2026, within the 90-day window. 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dates reflect the parent meeting window.","featured":false},{"id":"acs-fall-2026-emerging-comp-tech-2026-08","name":"Symposium on Emerging Technologies in Computational Chemistry (ACS Fall 2026 COMP Award Symposium)","short_name":null,"type":"symposium","status":"confirmed","domains":["chemistry","computational_science","materials_science"],"ai_focus":"major_track","format":"hybrid","audience":"mixed","dates":{"start":"2026-08-23","end":"2026-08-27","submission_deadline":"2026-03-30","notification_date":null,"registration_opens":null,"registration_deadline":"2026-07-23","abstract_deadline":"2026-03-30"},"location":{"city":"Chicago","country":"United States","country_code":"US","venue":"McCormick Place Convention Center","virtual_url":null},"description":"Annual COMP division award symposium at ACS Fall National Meetings recognizing methodological advances in computational chemistry, including ML force fields, generative molecular design, and uncertainty quantification in ML-driven simulations.","url":"https://www.acs-comp.org/awards/symposium-on-emerging-computational-technologies","organizers":["ACS Division of Computers in Chemistry (COMP)"],"key_speakers":[],"topics":["ML force fields","neural network potentials","generative molecular design","uncertainty quantification","computational chemistry"],"parent_conference":"ACS Fall 2026 National Meeting & Exposition","registration_fee":"paid","source_urls":["https://www.acs-comp.org/awards/symposium-on-emerging-computational-technologies","https://www.acs-comp.org/meetings/national-acs-program"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"low","review_flag":true,"community_notes":"Recurring Fall award symposium; specific Fall 2026 confirmation and session date not yet individually published. Flagged for review.","featured":false},{"id":"egu26-genai-agentic-geosciences-2026-05","name":"EGU26 Session ITS1.6/ESSI1.6 \u2014 Generative AI, Agentic Systems and Hybrid Intelligence in Geosciences: Leveraging AI to Empower Human Insight","short_name":"ITS1.6/ESSI1.6","type":"symposium","status":"past","domains":["earth_sciences","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"hybrid","audience":"academic","dates":{"start":"2026-05-03","end":"2026-05-08","submission_deadline":"2026-01-15","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-01-15"},"location":{"city":"Vienna","country":"Austria","country_code":"AT","venue":"Austria Center Vienna (ACV)","virtual_url":null},"description":"A dedicated EGU26 session on advanced machine learning, agentic systems, and generative AI in geoscience research, emphasizing human-centred design, AI-assisted knowledge discovery, ethical deployment, and causal reasoning across Earth and space science.","url":"https://www.egu26.eu/session/57542","organizers":["Anrijs Abele","Hans Korving","Sid-Ali Ouadfeul","Charlie Kirkwood","Leila Aliouane","Ahmed Khalil"],"key_speakers":[],"topics":["generative AI","agentic systems","hybrid intelligence","machine learning","knowledge discovery","explainable AI","geosciences"],"parent_conference":"EGU General Assembly 2026","registration_fee":"paid","source_urls":["https://www.egu26.eu/session/57542"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Session within EGU26 (3-8 May 2026), concluded within the 90-day window. Exact session day/time not captured; dates reflect parent meeting span.","featured":false},{"id":"jpgu-agu-joint-meeting-2026-05","name":"JpGU-AGU Joint Meeting 2026","short_name":"JpGU-AGU 2026","type":"conference","status":"past","domains":["earth_sciences","climate_weather","oceanography","astronomy_astrophysics","cross_disciplinary"],"ai_focus":"minor_track","format":"hybrid","audience":"academic","dates":{"start":"2026-05-24","end":"2026-05-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Chiba","country":"Japan","country_code":"JP","venue":"Makuhari Messe","virtual_url":null},"description":"Joint Earth and planetary science meeting of the Japan Geoscience Union and the American Geophysical Union (theme: Transformative Science for Life & Earth), featuring an AI track including the GeoSciAI2026 AI-model competition award ceremony.","url":"https://www.jpgu.org/meeting_e2026/","organizers":["Japan Geoscience Union (JpGU)","American Geophysical Union (AGU)"],"key_speakers":[],"topics":["Earth and planetary science","machine learning","GeoSciAI competition","seismology","meteorology","geoscience"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.jpgu.org/meeting_e2026/","https://www.jpgu.org/meeting_e2026/news/news20250917_01.html","https://news.agu.org/press-release/jpgu-agu-2026-joint-meeting-media-highlights-available/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"AGU joint meeting; concluded 29 May 2026, within the 90-day window. AI presence is a minor track centered on the GeoSciAI2026 competition rather than a dedicated AI program.","featured":false},{"id":"geosciai2026-competition-2026-05","name":"GeoSciAI2026 \u2014 AI Model Development Competition in Earth and Planetary Sciences","short_name":"GeoSciAI2026","type":"challenge_competition","status":"past","domains":["earth_sciences","climate_weather","computational_science"],"ai_focus":"dedicated","format":"hybrid","audience":"mixed","dates":{"start":"2026-05-24","end":"2026-05-24","submission_deadline":"2026-05-05","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Chiba","country":"Japan","country_code":"JP","venue":"Makuhari Messe (award ceremony at JpGU-AGU 2026 / Zoom)","virtual_url":null},"description":"An AI model development competition in Earth and planetary sciences run by the Japan Geoscience Union with the Japanese Society for Artificial Intelligence, offering seismology and meteorology tasks on organizer-provided datasets, with an automated scoring system for 2026.","url":"https://sites.google.com/jpgu.org/geosciai2026","organizers":["Japan Geoscience Union (JpGU)","Japanese Society for Artificial Intelligence (JSAI)"],"key_speakers":[],"topics":["AI model development","machine learning competition","seismology","meteorology","Earth and planetary science"],"parent_conference":"JpGU-AGU Joint Meeting 2026","registration_fee":"free","source_urls":["https://sites.google.com/jpgu.org/geosciai2026","https://www.jpgu.org/meeting_e2026/event.php"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Technical paper/slide submission deadline 5 May 2026; award ceremony 24 May 2026 at JpGU-AGU 2026 or via Zoom. Open to all (no JpGU membership required). Start/end dates set to award-ceremony date as the competition's main dated event; concluded within the 90-day window.","featured":false},{"id":"aistats-calibration-ws-2026-05","name":"Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI","short_name":null,"type":"workshop","status":"past","domains":["drug_discovery","biology","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-05-05","end":"2026-05-05","submission_deadline":"2026-02-27","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Tangier","country":"Morocco","country_code":"MA","venue":null,"virtual_url":null},"description":"AISTATS 2026 workshop on prediction-calibration theory and its applications, with a strong biomedical and clinical track including talks on trustworthy patient-level predictions and calibrated uncertainty for biomedical AI in dermatology, pathology, and blood-cancer classification.","url":"https://calibration-workshop.github.io","organizers":["Sebastian Gruber (KU Leuven)","Teodora Popordanoska (KU Leuven)","Yifan Wu (Microsoft Research)","Eugene Berta (INRIA)","Francis Bach (INRIA)","Edgar Dobriban (University of Pennsylvania)"],"key_speakers":["Peter Flach","Ewout W. 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Flagged for review on science-applied fit.","featured":false},{"id":"broad-mia-seminar-series-2026","name":"Broad Institute Models, Inference & Algorithms (MIA) Seminar Series","short_name":"MIA","type":"seminar_series","status":"past","domains":["genomics_bioinformatics","biology","computational_science","drug_discovery"],"ai_focus":"dedicated","format":"hybrid","audience":"academic","dates":{"start":"2026-02-04","end":"2026-06-03","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Cambridge","country":"United States","country_code":"US","venue":"Broad Institute, Acadia, 75 Ames St., M1","virtual_url":null},"description":"Ongoing seminar series at the interface of biology/medicine with mathematics, statistics, machine learning, and computer science. 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New semesters run regularly.","featured":false},{"id":"ewsc-symposium-2026-04","name":"Eric and Wendy Schmidt Center Symposium 2026: Biomedical Science and AI","short_name":"EWSC Symposium 2026","type":"symposium","status":"past","domains":["biology","genomics_bioinformatics","drug_discovery","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"hybrid","audience":"academic","dates":{"start":"2026-04-28","end":"2026-04-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Cambridge","country":"United States","country_code":"US","venue":"Broad Institute Auditorium, 415 Main Street","virtual_url":null},"description":"Symposium of the Eric and Wendy Schmidt Center at the Broad Institute bringing together researchers who develop the foundations of machine learning and apply these methods to understand biology from proteins to organisms.","url":"https://www.ericandwendyschmidtcenter.org/symposia/ewsc-symposium-2026","organizers":["Eric and Wendy Schmidt Center","Broad Institute"],"key_speakers":["Jennifer Listgarten","Michael Bronstein","Ellen Zhong","Valentina Boeva","Mikhail Belkin","Alex Schier"],"topics":["protein design","representation learning","structural biology","cancer models","machine learning for biomedicine"],"parent_conference":null,"registration_fee":"free","source_urls":["https://www.ericandwendyschmidtcenter.org/symposia/ewsc-symposium-2026"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded within the last 90 days (Apr 28-29, 2026).","featured":false},{"id":"czbiohub-ny-immune-cell-eng-2026-07","name":"New York Symposium on Immune Cell Engineering and Reprogramming","short_name":null,"type":"symposium","status":"confirmed","domains":["biology","genomics_bioinformatics","drug_discovery","computational_science"],"ai_focus":"minor_track","format":"hybrid","audience":"academic","dates":{"start":"2026-07-22","end":"2026-07-23","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-06-05"},"location":{"city":"New York","country":"United States","country_code":"US","venue":"50 Varick Street","virtual_url":null},"description":"CZ Biohub New York symposium on emerging approaches for understanding and programming immune systems, spanning single-cell technologies, genome engineering, and AI/computational modeling of immune behavior from large-scale multimodal data.","url":"https://biohub.org/event/immune-cell-engineering-reprogramming-symposium-2026/","organizers":["Chan Zuckerberg Biohub New York","Andrea Califano","Garabet Yeretssian"],"key_speakers":["Petter Brodin","Alex Marson","Jonathan Weissman","Megan Sykes","Alex Shalek"],"topics":["immune cell engineering","synthetic biology","single-cell technologies","genome engineering","AI and computational modeling"],"parent_conference":null,"registration_fee":"free","source_urls":["https://biohub.org/event/immune-cell-engineering-reprogramming-symposium-2026/","https://biohub.org/events/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Event at capacity; waitlist and livestream available. Abstract deadline already passed.","featured":false},{"id":"czbiohub-cbec-2026-09","name":"Chicago BioEngineering Conference (CBEC) 2026","short_name":"CBEC 2026","type":"conference","status":"confirmed","domains":["biology","genomics_bioinformatics","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-17","end":"2026-09-18","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-07-31"},"location":{"city":"Chicago","country":"United States","country_code":"US","venue":"Sheraton Grand Chicago Riverwalk, 301 E North Water St","virtual_url":null},"description":"Second Chicago BioEngineering Conference hosted by CZ Biohub Chicago with the University of Chicago, Northwestern, and University of Illinois. Sessions span high-throughput omics, spatial and live tissue omics, bioelectronics, and a dedicated AI x Bio track.","url":"https://biohub.org/event/chicago-bioengineering-conference-2026/","organizers":["Chan Zuckerberg Biohub Chicago","Shana Kelley","Savas Tay","University of Chicago"],"key_speakers":[],"topics":["high-throughput omics","spatial omics","bioelectronics","AI x Bio","tissue engineering"],"parent_conference":null,"registration_fee":"free","source_urls":["https://biohub.org/event/chicago-bioengineering-conference-2026/","https://biohub.org/events/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Abstract/poster deadline July 31, 2026; notifications mid-August.","featured":false},{"id":"czbiohub-physics-of-life-2026-09","name":"Physics of Life Symposium 2026","short_name":null,"type":"symposium","status":"confirmed","domains":["biology","physics","computational_science","cross_disciplinary"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-25","end":"2026-09-25","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-09-17","abstract_deadline":null},"location":{"city":"San Francisco","country":"United States","country_code":"US","venue":"Chan Zuckerberg Biohub San Francisco","virtual_url":null},"description":"Fifth annual CZ Biohub San Francisco symposium applying the tools and style of inquiry of physics to living systems, convening experimentalists, theorists, and computational scientists at the intersection of data-driven discovery and physics-inspired approaches.","url":"https://biohub.org/events/physics-of-life-2026/","organizers":["Chan Zuckerberg Biohub San Francisco"],"key_speakers":[],"topics":["physical biology","living systems","data-driven discovery","computational modeling","biophysics"],"parent_conference":null,"registration_fee":"free","source_urls":["https://biohub.org/events/physics-of-life-2026/","https://biohub.org/events/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"AI/computational methods are a minor component within a physics-of-biology agenda.","featured":false},{"id":"czbiohub-cell-biology-at-scale-2026-06","name":"Cell Biology at Scale 2026","short_name":null,"type":"symposium","status":"past","domains":["biology","genomics_bioinformatics","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-06-03","end":"2026-06-03","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Stockholm","country":"Sweden","country_code":"SE","venue":"SciLifeLab","virtual_url":null},"description":"One-day symposium co-hosted by SciLifeLab and CZ Biohub bringing together researchers in cell biology, imaging, functional genomics, computational biology, and AI, exploring how advances in molecular profiling, imaging, and AI-driven modeling are transforming cellular research.","url":"https://biohub.org/events/cell-biology-at-scale-2026/","organizers":["Chan Zuckerberg Biohub","SciLifeLab"],"key_speakers":[],"topics":["cell biology","imaging","functional genomics","computational biology","AI-driven modeling"],"parent_conference":null,"registration_fee":"free","source_urls":["https://biohub.org/events/cell-biology-at-scale-2026/","https://biohub.org/events/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded within the last 90 days (Jun 3, 2026). Held in Stockholm with livestream.","featured":false},{"id":"allen-lake-conference-2026-04","name":"2026 Lake Conference: Modeling Life from Cells to Tissues \u2014 Emergence and Self-Organization","short_name":"Lake Conference 2026","type":"conference","status":"past","domains":["biology","physics","computational_science","cross_disciplinary"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-04-20","end":"2026-04-22","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Seattle","country":"United States","country_code":"US","venue":"Allen Institute","virtual_url":null},"description":"Cross-disciplinary conference convening biologists, physicists, AI researchers, and theoreticians on how tissues self-organize from individual cell behavior, with AI-driven modeling among the advancing technologies in morphogenesis research.","url":"https://alleninstitute.org/events/aics-lake-2026","organizers":["Allen Institute for Cell Science","Circuit Neuroscience Basel"],"key_speakers":[],"topics":["morphogenesis","self-organization","tissue modeling","AI-driven modeling","cell science"],"parent_conference":null,"registration_fee":"free","source_urls":["https://alleninstitute.org/events/aics-lake-2026","https://alleninstitute.org/events"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Concluded within the last 90 days (Apr 20-22, 2026). 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Applications closed Mar 15, 2026.","featured":false},{"id":"aps-global-physics-summit-2026-03","name":"APS Global Physics Summit 2026 (Joint March Meeting and April Meeting)","short_name":"APS Global Physics Summit 2026","type":"conference","status":"past","domains":["physics","materials_science","astronomy_astrophysics","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-03-15","end":"2026-03-20","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Denver","country":"United States","country_code":"US","venue":"Colorado Convention Center and Hyatt Regency Denver","virtual_url":null},"description":"The American Physical Society's flagship conference, now unifying the historic March Meeting and April Meeting into a single event drawing over 14,000 physicists across all disciplines. 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Rubin Observatory","SLAC National Accelerator Laboratory"],"key_speakers":[],"topics":["LSST survey science","machine learning on survey data","time-domain astronomy","data management"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://project.lsst.org/meetings/rubin2026/rubin-observatory-community-workshop","https://rubinobservatory.org/for-scientists/events-deadlines/events-rcw"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"ML is one of several breakout tracks within the broader Rubin/LSST community workshop.","featured":false},{"id":"ai4science-summer-school-caen-2026-06","name":"3rd Summer School on Advancing Scientific Discovery with AI","short_name":"AI4Science Summer School 2026","type":"summer_school","status":"confirmed","domains":["cross_disciplinary","chemistry","physics","biology","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-06-29","end":"2026-07-03","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-29","abstract_deadline":null},"location":{"city":"Caen","country":"France","country_code":"FR","venue":"ENSICAEN","virtual_url":null},"description":"Summer school for PhD students, postdocs, and researchers on modern machine learning for scientific discovery, including generative/diffusion models, Bayesian uncertainty, transformers for scientific data, and the advancement of AI agents in science.","url":"https://ai4science2026.sciencesconf.org/","organizers":["ENSICAEN","Universite de Caen Normandie (UNICAEN)","CNRS","CaeSAR Project","Region Normandie"],"key_speakers":[],"topics":["inverse problems","diffusion and generative models","Bayesian models and uncertainty","transformers for scientific data","AI agents in science"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://ai4science2026.sciencesconf.org/","https://www.caenlamer-tourisme.com/mice-agenda/summer-school-advancing-scientific-discovery-with-ai/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Application deadline was April 25, 2026; registration deadline extended to May 29, 2026.","featured":false},{"id":"slas-europe-2026-05","name":"SLAS Europe 2026 Conference and Exhibition","short_name":"SLAS Europe 2026","type":"conference","status":"past","domains":["drug_discovery","biology","general_science"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2026-05-19","end":"2026-05-21","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Vienna","country":"Austria","country_code":"AT","venue":"Vienna Congress & Convention Center","virtual_url":null},"description":"Society for Laboratory Automation and Screening Europe conference on laboratory automation, screening, and AI/ML-driven lab workflows, with tracks on advances in laboratory automation and drug discovery.","url":"https://www.slas.org/events-calendar/slas-europe-2026-conference-and-exhibition/","organizers":["Society for Laboratory Automation and Screening (SLAS)"],"key_speakers":[],"topics":["laboratory automation","screening applications","AI/ML in lab workflows","drug discovery","robotics"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.slas.org/events-calendar/slas-europe-2026-conference-and-exhibition/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded May 21, 2026, within the last 90 days. AI/ML is a substantial theme rather than the whole conference.","featured":false},{"id":"lab-of-the-future-europe-2026-09","name":"Lab of the Future Europe Congress 2026","short_name":"Lab of the Future Europe 2026","type":"conference","status":"confirmed","domains":["drug_discovery","biology","general_science"],"ai_focus":"major_track","format":"in_person","audience":"industry","dates":{"start":"2026-09-22","end":"2026-09-23","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Amsterdam","country":"Netherlands","country_code":"NL","venue":"Beurs van Berlage","virtual_url":null},"description":"Biopharma R&D congress on lab automation and digital transformation, with a prominent 'AI to Innovate' theme and sessions on the automated/orchestrated lab and AI-driven discovery.","url":"https://www.lab-of-the-future.com/europe/","organizers":["Open Pharma Research Ltd"],"key_speakers":[],"topics":["AI to innovate","lab automation","orchestrated lab","digital-first R&D","AI-driven discovery"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.lab-of-the-future.com/europe/","https://10times.com/lab-future-congress"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Industry/biopharma-leaning congress; AI for scientific discovery and autonomous-lab automation is a substantial track but the event is partly business-focused. Dates per 10times listing (Sep 22-23, 2026); confirm against organizer page.","featured":false},{"id":"compayl-miccai-2026-09","name":"COMPAYL: Computational Pathology and Multimodal Data Workshop at MICCAI 2026","short_name":"COMPAYL 2026","type":"workshop","status":"confirmed","domains":["biology","drug_discovery","genomics_bioinformatics"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-09-27","end":"2026-09-27","submission_deadline":"2026-07-01","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-07-01"},"location":{"city":"Strasbourg","country":"France","country_code":"FR","venue":"Strasbourg Convention Center","virtual_url":null},"description":"MICCAI satellite workshop on AI and foundation models for computational pathology combined with language, omics, radiology, and spatial transcriptomics/proteomics, with a 2026 focus on agentic AI in pathology.","url":"https://www.compayl.com/workshop","organizers":["Francesco Ciompi","Salma Dammak","Khrystyna Faryna","Sara P. 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Patel (Johns Hopkins University)","Yuyin Zhou (UC Santa Cruz)","Bo Wang (University of Toronto / Vector Institute)"],"key_speakers":[],"topics":["foundation models","medical imaging","computational pathology","multimodal AI","biomedical image segmentation"],"parent_conference":"CVPR 2026","registration_fee":"paid","source_urls":["https://fmv-cvpr26workshop.github.io/","https://cvpr.thecvf.com/Conferences/2026/Dates"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"bioimaging-2027-02","name":"BIOIMAGING 2027 - 14th International Conference on Bioimaging","short_name":"BIOIMAGING 2027","type":"conference","status":"confirmed","domains":["biology","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2027-02-19","end":"2027-02-21","submission_deadline":"2026-09-15","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Valletta","country":"Malta","country_code":"MT","venue":null,"virtual_url":null},"description":"Bioimaging track of the BIOSTEC joint conference covering classic image processing and modern deep learning techniques for microscopy and medical imaging. A second edition runs May 14-16, 2027 in Nanjing, China.","url":"https://bioimaging.scitevents.org/","organizers":["INSTICC"],"key_speakers":[],"topics":["bioimaging","image segmentation","deep learning","microscopy","medical imaging","feature recognition"],"parent_conference":"BIOSTEC 2027","registration_fee":"paid","source_urls":["https://bioimaging.scitevents.org/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Two venues for 2027: Valletta/Floriana, Malta (Feb 19-21) and Nanjing, China (May 14-16). This entry uses the Malta edition.","featured":false},{"id":"biomarkers-comp-pathology-us-2026-09","name":"Biomarkers, CDx & Precision Medicine US - Computational Pathology, AI & Precision Diagnostics","short_name":null,"type":"conference","status":"confirmed","domains":["biology","drug_discovery"],"ai_focus":"major_track","format":"in_person","audience":"industry","dates":{"start":"2026-09-23","end":"2026-09-24","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"San Diego","country":"United States","country_code":"US","venue":null,"virtual_url":null},"description":"Oxford Global track on computational pathology, AI and precision diagnostics, covering AI models for biomarker discovery and pathology in drug development and clinical diagnostics.","url":"https://oxfordglobal.com/precision-medicine/events/biomarkers-precision-medicine-us/digital-pathology-ai","organizers":["Oxford Global"],"key_speakers":["Hoifung Poon (Microsoft Research)","Pablo Tamayo (UC San Diego)"],"topics":["computational pathology","AI diagnostics","biomarkers","precision medicine","whole-slide imaging"],"parent_conference":"Biomarkers, CDx & Precision Medicine US 2026","registration_fee":"paid","source_urls":["https://oxfordglobal.com/precision-medicine/events/biomarkers-precision-medicine-us/digital-pathology-ai"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Dates (Sep 23-24, 2026, San Diego) and AI/computational pathology track confirmed via Oxford Global event pages. Industry-leaning event.","featured":false},{"id":"chep-2026-05","name":"28th Conference on Computing in High Energy and Nuclear Physics","short_name":"CHEP 2026","type":"conference","status":"past","domains":["physics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-05-25","end":"2026-05-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Bangkok","country":"Thailand","country_code":"TH","venue":"Chulalongkorn University","virtual_url":null},"description":"Long-running conference on computing in high-energy and nuclear physics, with substantial sessions on AI/ML in operations and sustainable computing.","url":"https://indico.cern.ch/e/chep2026","organizers":["Phat Srimanobhas (Chair)","Chulalongkorn University"],"key_speakers":[],"topics":["high energy physics computing","AI/ML in operations","sustainable computing","data processing","software"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://indico.cern.ch/e/chep2026"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded within the last 90 days (May 25-29, 2026). Science conference with a substantial AI/ML track rather than dedicated AI focus.","featured":false},{"id":"nsls2-cfn-users-meeting-2026-04","name":"2026 NSLS-II & CFN Joint Users' Meeting","short_name":"NSLS-II/CFN Users' Meeting 2026","type":"symposium","status":"past","domains":["materials_science","chemistry","physics"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-04-21","end":"2026-05-06","submission_deadline":"2026-04-10","notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-06","abstract_deadline":"2026-04-10"},"location":{"city":"Upton, NY","country":"United States","country_code":"US","venue":"Brookhaven National Laboratory","virtual_url":null},"description":"Annual users' meeting for the National Synchrotron Light Source II and Center for Functional Nanomaterials, featuring a first-ever AI Showcase on leveraging AI tools to advance synchrotron and nanoscience research.","url":"https://www.bnl.gov/usersmeeting/","organizers":["NSLS-II (Brookhaven National Laboratory)","Center for Functional Nanomaterials (CFN)"],"key_speakers":[],"topics":["synchrotron science","nanoscience","AI showcase","catalysis","battery research","quantum materials","advanced imaging"],"parent_conference":null,"registration_fee":"free","source_urls":["https://www.bnl.gov/usersmeeting/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Concluded within the last 90 days (sessions Apr 21-23 and May 5-6, 2026). AI is a track/showcase within a synchrotron/nanoscience users' meeting, not the dedicated focus. Split-date schedule noted as start Apr 21, end May 6.","featured":false},{"id":"dl4sci-summer-school-2026-07","name":"Deep Learning for Science Summer School 2026","short_name":"DL4SCI 2026","type":"summer_school","status":"confirmed","domains":["computational_science","cross_disciplinary","general_science"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-07-20","end":"2026-07-24","submission_deadline":"2026-04-10","notification_date":null,"registration_opens":null,"registration_deadline":"2026-04-10","abstract_deadline":null},"location":{"city":"Berkeley, CA","country":"United States","country_code":"US","venue":"Lawrence Berkeley National Laboratory","virtual_url":null},"description":"Five-day intensive summer school on deep learning and AI for scientific discovery, with 2026 emphasis on foundation models, reasoning, and agentic AI; aimed at advanced graduate students, postdocs, and domain scientists.","url":"https://www.nersc.gov/news-and-events/calendar-of-events/deep-learning-for-science-school-2026","organizers":["NERSC","Lawrence Berkeley National Laboratory"],"key_speakers":[],"topics":["deep learning","foundation models","agentic AI","reasoning","PyTorch","HPC for ML"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.nersc.gov/news-and-events/calendar-of-events/deep-learning-for-science-school-2026","https://www.hpcwire.com/aiwire/2026/03/31/berkeley-lab-dl4sci-2026-to-spotlight-discovery-through-agentic-ai-foundation-models/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Application deadline was April 10, 2026; event itself July 20-24, 2026.","featured":false},{"id":"sandia-mldl-workshop-2026-08","name":"Sandia National Laboratories Annual Machine Learning / Deep Learning Workshop 2026","short_name":"Sandia ML/DL 2026","type":"workshop","status":"confirmed","domains":["computational_science","cross_disciplinary","general_science"],"ai_focus":"dedicated","format":"virtual","audience":"mixed","dates":{"start":"2026-08-03","end":"2026-08-06","submission_deadline":"2026-06-05","notification_date":"2026-06-11","registration_opens":null,"registration_deadline":"2026-08-06","abstract_deadline":"2026-06-05"},"location":{"city":null,"country":"United States","country_code":"US","venue":"Virtual","virtual_url":null},"description":"Tenth-anniversary virtual workshop on ML/DL method development, software and hardware demonstrations, and applications to national-laboratory science problems.","url":"https://www.sandia.gov/machine-and-deep-learning-workshop/","organizers":["Sandia National Laboratories"],"key_speakers":[],"topics":["ML/DL method development","uncertainty quantification","graph neural networks","scientific computing","national lab applications","hardware innovations"],"parent_conference":null,"registration_fee":"free","source_urls":["https://www.sandia.gov/machine-and-deep-learning-workshop/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Open-session abstracts due June 5, 2026 (acceptance June 11); CUI/classified abstracts due June 15, 2026. Free, open to the public, presentations pre-recorded.","featured":false},{"id":"cecam-mlip-reactivity-2026-06","name":"CECAM Workshop: Machine Learned Interatomic Potentials for Chemical Reactivity","short_name":null,"type":"workshop","status":"past","domains":["chemistry","computational_science","materials_science"],"ai_focus":"dedicated","format":"hybrid","audience":"academic","dates":{"start":"2026-06-15","end":"2026-06-18","submission_deadline":"2026-03-15","notification_date":null,"registration_opens":null,"registration_deadline":"2026-03-15","abstract_deadline":"2026-03-15"},"location":{"city":"Paris","country":"France","country_code":"FR","venue":"Ecole Normale Superieure (ENS)","virtual_url":null},"description":"CECAM workshop on machine-learned interatomic potentials (MLIPs) that accelerate ab initio molecular dynamics while retaining quantum accuracy, focused on chemical reactivity, training-dataset construction, chemical space sampling, and biological applications.","url":"https://www.cecam.org/workshop-details/machine-learned-interatomic-potentials-for-chemical-reactivity-1528","organizers":["Marylou Gabrie (Ecole Normale Superieure)","Damien Laage (Ecole Normale Superieure)","Guillaume Stirnemann (ENS and CNRS)"],"key_speakers":[],"topics":["machine-learned interatomic potentials","molecular dynamics","chemical reactivity","quantum accuracy","chemical space sampling"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.cecam.org/workshop-details/machine-learned-interatomic-potentials-for-chemical-reactivity-1528"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"cct-catalysis-ai-2026-06","name":"21st International Conference on Catalysis, Chemical Engineering & Technology (CCT 2026)","short_name":"CCT 2026","type":"conference","status":"past","domains":["chemistry","materials_science","computational_science"],"ai_focus":"major_track","format":"hybrid","audience":"mixed","dates":{"start":"2026-06-18","end":"2026-06-20","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Barcelona","country":"Spain","country_code":"ES","venue":null,"virtual_url":null},"description":"International catalysis and chemical engineering conference featuring a dedicated scientific session on Artificial Intelligence and Machine Learning in Catalysis, covering ML-driven catalyst design, reaction-mechanism modeling, and AI-assisted process control.","url":"https://catalysis-conferences.com/program/scientific-sessions/artificial-intelligence-and-machine-learning-in-catalysis","organizers":["Magnus Group LLC"],"key_speakers":[],"topics":["AI in catalysis","machine learning for catalyst design","reaction mechanisms","chemical reaction engineering","AI-assisted process control"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://catalysis-conferences.com/program/scientific-sessions/artificial-intelligence-and-machine-learning-in-catalysis","https://internationalcatalysisconferences.wordpress.com/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Magnus Group commercial conference series; AI/ML is one session within a broader catalysis program. Dates (June 18-20, 2026, Barcelona, hybrid) confirmed via organizer blog.","featured":false},{"id":"msam-multiscale-ai-biomolecular-2026-05","name":"From Molecules to Cells: Multiscale Simulation and AI-Driven Modeling for Biomolecular Systems","short_name":"MSAM","type":"workshop","status":"past","domains":["chemistry","biology","computational_science"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-05-28","end":"2026-05-30","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Kobe","country":"Japan","country_code":"JP","venue":"Integrated Innovation Building (IIB), RIKEN","virtual_url":null},"description":"Workshop establishing foundational methodology for AI-driven multiscale simulation, bridging molecular to cellular scales by integrating AI advances with physics-based biomolecular modeling and rare-event sampling.","url":"https://msam2026.github.io/","organizers":["Gregory Voth (University of Chicago)","Yuji Sugita (RIKEN / University of Tokyo)","Florence Tama (RIKEN / Nagoya University)","Kei Moritsugu (Osaka Metropolitan University)","Yasuhiro Matsunaga (Saitama University / RIKEN)"],"key_speakers":["Pratyush Tiwary","Xuhui Huang","Chris Chipot","Syma Khalid","Joan-Emma Shea","Darrin York"],"topics":["multiscale simulation","AI-driven molecular modeling","biomolecular systems","rare-event sampling","transition pathways"],"parent_conference":null,"registration_fee":"free","source_urls":["https://msam2026.github.io/","https://www.riken.jp/en/news_pubs/events/symposia/20260528_1/index.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded May 28-30, 2026; free registration (on-site capped at 100, posters at 40). Retained as within the last-90-days window.","featured":false},{"id":"ec-ai-earth-observation-2026-03","name":"Artificial Intelligence and Earth Observation: From Innovation to Services","short_name":null,"type":"workshop","status":"past","domains":["earth_sciences","climate_weather","computational_science"],"ai_focus":"dedicated","format":"hybrid","audience":"mixed","dates":{"start":"2026-03-09","end":"2026-03-10","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Brussels","country":"Belgium","country_code":"BE","venue":"European Commission DG DEFIS, Breydel building","virtual_url":null},"description":"European Commission workshop exploring how AI is transforming Earth observation and environmental services, covering operational AI forecasting, Earth system modeling, open-source frameworks like Anemoi, and integration with HPC.","url":"https://defence-industry-space.ec.europa.eu/artificial-intelligence-and-earth-observation-innovation-services-2026-03-09_en","organizers":["European Commission DG DEFIS","DG CNECT","HaDEA"],"key_speakers":[],"topics":["AI for Earth observation","operational AI forecasting","Earth system modeling","trustworthy AI","high-performance computing"],"parent_conference":null,"registration_fee":"free","source_urls":["https://defence-industry-space.ec.europa.eu/artificial-intelligence-and-earth-observation-innovation-services-2026-03-09_en","https://www.ecmwf.int/en/about/media-centre/2026/workshop-ai-and-earth-observation"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded 10 March 2026 -- within the 90-day recently-concluded window. Held at the DG DEFIS Breydel building auditorium, Brussels.","featured":false},{"id":"ecmwf-software-sustainable-modelling-2026-11","name":"2026 ECMWF Workshop on Software Strategies for Sustainable Physical Modelling","short_name":null,"type":"workshop","status":"confirmed","domains":["climate_weather","earth_sciences","computational_science"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-11-23","end":"2026-11-27","submission_deadline":"2026-09-04","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-09-04"},"location":{"city":"Reading","country":"United Kingdom","country_code":"GB","venue":"ECMWF Headquarters","virtual_url":null},"description":"ECMWF workshop on software strategies for sustainable physical modelling of weather and climate, including the rise of machine learning both as a tool for software development and as a foundation for emerging numerical weather prediction systems.","url":"https://events.ecmwf.int/event/529/","organizers":["ECMWF"],"key_speakers":[],"topics":["physical modelling","software strategies","machine learning integration","numerical weather prediction","weather and climate modelling"],"parent_conference":null,"registration_fee":"free","source_urls":["https://events.ecmwf.int/event/529/","https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwf-2026-events-programme"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Dedicated event page confirmed (events.ecmwf.int/event/529/); abstract deadline 4 September 2026. ML is one component within a physical-modelling software workshop.","featured":false},{"id":"ecmwf-ai-weather-quest-mam-webinar-2026-06","name":"AI Weather Quest: MAM Awards Webinar","short_name":"AI Weather Quest MAM Webinar","type":"challenge_competition","status":"past","domains":["climate_weather","earth_sciences","computational_science"],"ai_focus":"dedicated","format":"virtual","audience":"mixed","dates":{"start":"2026-06-18","end":"2026-06-18","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":null,"country":null,"country_code":null,"venue":null,"virtual_url":null},"description":"Online awards webinar for ECMWF's AI Weather Quest, a machine-learning sub-seasonal forecasting competition, spotlighting the top-performing teams of the March-April-May (MAM) 2026 period with presentations from top scorers.","url":"https://events.ecmwf.int/event/527/","organizers":["ECMWF (European Centre for Medium-Range Weather Forecasts)"],"key_speakers":[],"topics":["machine learning","sub-seasonal prediction","weather forecasting competition","ensemble forecasting"],"parent_conference":"AI Weather Quest","registration_fee":"free","source_urls":["https://events.ecmwf.int/event/527/","https://aiweatherquest.ecmwf.int/","https://www.ecmwf.int/en/about/media-centre/science-blog/2026/ai-weather-quest-2026"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Webinar held 18 June 2026 at 13:00-14:00 UTC. Part of the recurring AI Weather Quest competition (quarterly awards webinars).","featured":false},{"id":"discovery-science-mainz-2026-10","name":"29th International Conference on Discovery Science (DS 2026)","short_name":"DS 2026","type":"conference","status":"confirmed","domains":["cross_disciplinary","computational_science","general_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-10-05","end":"2026-10-09","submission_deadline":"2026-06-08","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-06-01"},"location":{"city":"Mainz","country":"Germany","country_code":"DE","venue":null,"virtual_url":null},"description":"Long-running conference on developing and analyzing methods for discovering scientific knowledge via machine learning, data mining, intelligent data analysis, and big data analytics, with a 2026 emphasis on automating discovery across domains. Co-located with AI4Sci 2026 in the AI4Science Week.","url":"https://discovery-science.org/","organizers":["Discovery Science conference community","wikonect GmbH"],"key_speakers":[],"topics":["scientific discovery","machine learning","data mining","intelligent data analysis","automation of discovery"],"parent_conference":"AI4Science Week 2026","registration_fee":"unknown","source_urls":["https://discovery-science.org/","https://discovery-science.org/call-for-papers/","https://ai4sciweek.org/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Accepted DS papers published as Springer Lecture Notes. Abstract deadline Jun 1, full paper Jun 8 2026.","featured":false},{"id":"ai4science-summer-school-athens-2026-07","name":"AI for Science European Summer School 2026","short_name":null,"type":"summer_school","status":"confirmed","domains":["cross_disciplinary","general_science"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-07-16","end":"2026-07-17","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-10","abstract_deadline":null},"location":{"city":"Athens","country":"Greece","country_code":"GR","venue":"Acropolis Museum","virtual_url":null},"description":"Two-day European summer school gathering ~200 graduate students, early-career researchers, and international experts to explore the frontiers of machine learning in scientific discovery. Organized by the Hellenic Institute of Advanced Studies and sponsored by Google DeepMind.","url":"https://www.aiforscience.school/","organizers":["Hellenic Institute of Advanced Studies"],"key_speakers":[],"topics":["machine learning for science","AI-driven scientific discovery","interdisciplinary AI methods"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.aiforscience.school/","https://eulist.university/2026/05/04/ai-for-science-european-summer-school-16-17-july-2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Scholarship application deadline was May 10 2026; general applications now closed. Sponsored by Google DeepMind.","featured":false},{"id":"european-rosettacon-2026-10","name":"5th European RosettaCon - Crossing Boundaries with Protein Design","short_name":"EuroCon 2026","type":"conference","status":"confirmed","domains":["biology","drug_discovery","computational_science","chemistry"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2026-10-28","end":"2026-10-30","submission_deadline":"2026-05-31","notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-31","abstract_deadline":"2026-05-31"},"location":{"city":"Lisbon","country":"Portugal","country_code":"PT","venue":"NOVA University Lisbon","virtual_url":null},"description":"European edition of RosettaCon focused on computational protein design and protein sciences, including ML/generative methods for protein structure and sequence design.","url":"https://rosettacommons.org/events/erc/","organizers":["Rosetta Commons","Alena Khmelinskaia (LMU Munich)","Bruno Correia (EPFL)","Claudio Soares (ITQB)","Diana Lousa (ITQB)"],"key_speakers":[],"topics":["computational protein design","protein sciences","generative protein design","machine learning for proteins"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://rosettacommons.org/2026/03/11/registrations-are-now-open-for-european-rosettacon-2026/","https://rosettacommons.org/events/erc/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"ai-driven-drug-discovery-summit-2026-10","name":"AI-Driven Drug Discovery & Development Summit 2026 (5th Annual)","short_name":"AI Drug Discovery Summit","type":"conference","status":"confirmed","domains":["drug_discovery","biology","chemistry","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"industry","dates":{"start":"2026-10-27","end":"2026-10-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Boston","country":"United States","country_code":"US","venue":"Boston Marriott Copley Place","virtual_url":null},"description":"Industry summit on AI across the drug development pipeline with six tracks spanning discovery biology, discovery chemistry, data science, HPC & AI infrastructure, clinical trials, and TechOps.","url":"https://aidrivendrugdevelopment.com/events/ai-driven-drug-discovery-summit","organizers":["Kisaco Research"],"key_speakers":[],"topics":["discovery biology","discovery chemistry","data science","HPC and AI infrastructure","clinical trials","TechOps"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://aidrivendrugdevelopment.com/events/ai-drug-discovery-development-summit","https://www.aidrivendrugdevelopment.com/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"ismb-2026-07","name":"Intelligent Systems for Molecular Biology 2026","short_name":"ISMB 2026","type":"conference","status":"confirmed","domains":["genomics_bioinformatics","biology","computational_science","drug_discovery"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-07-12","end":"2026-07-16","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Washington","country":"United States","country_code":"US","venue":"Washington Hilton","virtual_url":null},"description":"Flagship ISCB meeting and the world's largest bioinformatics/computational biology conference, with major ML-driven tracks on protein structure, molecular dynamics, and computational biology including AI for drug discovery.","url":"https://www.iscb.org/ismb2026/","organizers":["International Society for Computational Biology (ISCB)"],"key_speakers":[],"topics":["protein structure","molecular dynamics","sequence analysis","systems biology","machine learning in biology","text mining"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.iscb.org/ismb2026/key-dates","https://www.iscb.org/conferences-events/about-ismb"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Large general bioinformatics conference; 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AI/ML appears as minisymposia (e.g. MS389 Machine Learning for Molecular Simulations) rather than as the main focus.","featured":false},{"id":"lion20-2026-06","name":"The 20th Learning and Intelligent OptimizatioN Conference","short_name":"LION20","type":"conference","status":"past","domains":["mathematics","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-06-15","end":"2026-06-19","submission_deadline":"2026-02-09","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Milan","country":"Italy","country_code":"IT","venue":"Universita degli Studi Milano Bicocca / Grand Hotel Villa Torretta","virtual_url":null},"description":"Conference exploring the intersection of machine learning and optimization, including metaheuristics, deep learning, reinforcement learning, evolutionary algorithms, and applications across science and engineering.","url":"https://intelligent-optimization.org/lion20/","organizers":["Francesco Archetti (University of Milano-Bicocca)","Antonio Candelieri (University of Milano-Bicocca)","Maximilian Schiffer (TU Munich)"],"key_speakers":[],"topics":["learning and intelligent optimization","machine learning","metaheuristics","reinforcement learning","evolutionary algorithms","operations research"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://lion20.org/","https://intelligent-optimization.org/lion20/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Regular registration EUR 520-620; student EUR 450-520.","featured":false},{"id":"fmpsi-2026-06","name":"Formal Mathematics and Proof Systems Interoperability 2026","short_name":"FMPSI'26","type":"workshop","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-06-22","end":"2026-07-03","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Orsay","country":"France","country_code":"FR","venue":"Universite Paris-Saclay","virtual_url":null},"description":"Workshop on formal mathematics and interoperability between proof systems, including autoformalization and AI methods for translating and aligning formal mathematical libraries.","url":"https://deducteam.gitlabpages.inria.fr/FMPSI26/","organizers":["Deducteam (INRIA)"],"key_speakers":[],"topics":["formal mathematics","proof system interoperability","autoformalization","proof assistants"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://europroofnet.github.io/conferences/","https://leanprover-community.github.io/events.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"","featured":false},{"id":"ml-math-pku-2026-07","name":"Mathematical Foundations of Modern Machine Learning (PKU 2026)","short_name":"ML-Math PKU 2026","type":"workshop","status":"confirmed","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-07-03","end":"2026-07-05","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Beijing","country":"China","country_code":"CN","venue":"Peking University, Zhihua Building","virtual_url":null},"description":"Workshop advancing the mathematical foundations of modern machine learning, connecting approximation, generalization, and optimization theory, statistical physics perspectives, and the theory of large language models.","url":"https://ml-math-2026.github.io/","organizers":["Fanghui Liu (Shanghai Jiao Tong University)","Lei Wu (Peking University)","Kun Yuan (Peking University)"],"key_speakers":[],"topics":["approximation theory","generalization","optimization dynamics","statistical physics of learning","theory of large language models"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://ml-math-2026.github.io/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Mathematical theory of ML rather than AI applied to math research; included for the AI-for-math adjacency.","featured":false},{"id":"slmath-math-library-future-2027-03","name":"Building the Mathematical Library of the Future","short_name":null,"type":"workshop","status":"tentative","domains":["mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2027-03-15","end":"2027-04-09","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Berkeley","country":"United States","country_code":"US","venue":"SLMath (formerly MSRI)","virtual_url":null},"description":"SLMath program on formalized mathematics libraries and the role of AI/autoformalization in building the next generation of machine-checkable mathematical knowledge.","url":"https://www.slmath.org/axiom/412","organizers":["SLMath"],"key_speakers":[],"topics":["formalized mathematics","autoformalization","mathematical libraries","AI for mathematics"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://leanprover-community.github.io/events.html","https://www.slmath.org/axiom/412","https://www.mathprograms.org/db/programs/1902"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Verified against the official SLMath AxIOM page: 2027 program, March 15 - April 9, 2027, focused on formalizing definitions in Lean. Applications via MathPrograms.org Feb 1 - Apr 30, 2026.","featured":false},{"id":"cirm-spatial-omics-oncology-2026-07","name":"Mathematical Foundations for Spatial Omics in Oncology","short_name":null,"type":"summer_school","status":"confirmed","domains":["genomics_bioinformatics","biology","mathematics","drug_discovery"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-07-20","end":"2026-07-24","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Marseille","country":"France","country_code":"FR","venue":"CIRM, 163 avenue de Luminy, Case 916, 13288 Marseille cedex 9","virtual_url":null},"description":"A five-day research school assembling mathematicians, statisticians, computational biologists, and oncologists to tackle methodological challenges in spatial transcriptomics, with theory, applied sessions, and a data challenge on spatial omics datasets in oncology.","url":"https://conferences.cirm-math.fr/3657.html","organizers":["Hakim Benkirane (Universite Paris-Saclay / CentraleSupelec)","Marie-Laure Charpignon (Berkeley)","Imane Chraki (CentraleSupelec)","Paul-Henry Cournede (CentraleSupelec)","Felicie Giraud-Sauveur (CentraleSupelec)","Gurvan Hermange (CentraleSupelec)","Veronique Le Chevalier-Letort (Ecole Centrale Paris)"],"key_speakers":[],"topics":["spatial transcriptomics","statistical learning","graph theory","optimal transport","tumor microenvironment","computational biology"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://conferences.cirm-math.fr/3657.html","https://conferences.cirm-math.fr/2026-calendar-by-events.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"him-geometric-statistics-2026-09","name":"HIM Dual Trimester Program: Geometric Statistics - theory, application, and computation","short_name":"DTP Geometric Statistics 2026","type":"other","status":"confirmed","domains":["mathematics","biology","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-07","end":"2026-12-18","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-07-05","abstract_deadline":null},"location":{"city":"Bonn","country":"Germany","country_code":"DE","venue":"Hausdorff Research Institute for Mathematics (HIM)","virtual_url":null},"description":"A trimester program fostering interaction across geometric statistics communities, spanning manifold statistics, topological data analysis, and geometric machine learning through to biomedical modeling and imaging applications. Includes an introductory school, two workshops, and a closing conference.","url":"https://www.mathematics.uni-bonn.de/him/programs/future/him-trimester-program-3-dtp-2026","organizers":["Shreya Arya (UPenn)","Karen Habermann (Warwick)","Stephan Huckemann (Goettingen)","Ezra Miller (Duke)","Yvo Pokern (UCL)","Wilderich Tuschmann (KIT)","Zhigang Yao (NUS)"],"key_speakers":[],"topics":["geometric statistics","topological data analysis","geometric machine learning","statistics on manifolds","biomedical imaging","non-Euclidean data"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.mathematics.uni-bonn.de/him/programs/future/him-trimester-program-3-dtp-2026"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Constituent events: Introductory School Sept 14-18; Workshop I Oct 12-16; Workshop II (Geometry, Topology, and Learning on Smooth and Singular Spaces) Nov 9-13; Conference (Interactions of Statistics and Geometry III) Dec 7-11.","featured":false},{"id":"birs-stats-fundamental-physics-2026-06","name":"High Dimensional Problems for Statistical Methods in Fundamental Physics Data Analyses","short_name":"BIRS 26w5508","type":"workshop","status":"past","domains":["physics","astronomy_astrophysics","mathematics","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-06-07","end":"2026-06-12","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Banff","country":"Canada","country_code":"CA","venue":"Banff International Research Station (BIRS)","virtual_url":null},"description":"Brings together physicists, statisticians, and machine learning experts to apply advanced machine learning and high-performance computing to high-dimensional fundamental physics data analyses, including talks such as 'High-dimensional distributions and Machine Learning'.","url":"https://www.birs.ca/events/2026/5-day-workshops/26w5508","organizers":["Banff International Research Station"],"key_speakers":["Lukas Heinrich"],"topics":["high-dimensional statistics","machine learning for physics","fundamental physics data analysis","high-performance computing","inference"],"parent_conference":null,"registration_fee":"free","source_urls":["https://www.birs.ca/events/2026/5-day-workshops/26w5508","https://www.birs.ca/events/2026/5-day-workshops/26w5508/videos"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluding at time of sweep (June 7-12, 2026); recorded videos available on BIRS site.","featured":false},{"id":"fields-efi-ecological-forecasting-2026-08","name":"Ecological Forecasting Initiative 2026 Annual Conference","short_name":"EFI 2026","type":"conference","status":"confirmed","domains":["ecology_environment","mathematics","computational_science","climate_weather"],"ai_focus":"minor_track","format":"in_person","audience":"mixed","dates":{"start":"2026-08-04","end":"2026-08-07","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Toronto","country":"Canada","country_code":"CA","venue":"Fields Institute for Research in Mathematical Sciences","virtual_url":null},"description":"Annual conference of the Ecological Forecasting Initiative, gathering leaders from mathematical sciences, environmental sciences, epidemiology, and data sciences to advance near-term ecological forecasting via statistical, mathematical, and data-driven techniques.","url":"https://ecoforecast.org/efi-2026-conference/","organizers":["Ecological Forecasting Initiative (EFI)","Canadian EFI Chapter (CEFI)","Fields Institute"],"key_speakers":[],"topics":["ecological forecasting","uncertainty quantification","data science","spatio-temporal modeling","decision support"],"parent_conference":null,"registration_fee":"unknown","source_urls":["http://www.fields.utoronto.ca/activities/26-27/efi-2026-conference","https://ecoforecast.org/efi-2026-conference/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Data science is a stated theme; explicit AI/ML is a minor track relative to statistical forecasting methods.","featured":false},{"id":"cirm-ml-signal-processing-graphs-2026-09","name":"Machine Learning and Signal Processing on Graphs","short_name":null,"type":"conference","status":"confirmed","domains":["mathematics","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-09-21","end":"2026-09-25","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-05-15","abstract_deadline":null},"location":{"city":"Marseille","country":"France","country_code":"FR","venue":"CIRM, 163 avenue de Luminy, Case 916, 13288 Marseille cedex 9","virtual_url":null},"description":"Brings together researchers in machine learning, statistics, signal processing, and optimization around graph-structured and non-Euclidean data (physical, social, and biological networks), with a focus on graph neural networks, statistical learning on graphs, and graph signal processing.","url":"https://conferences.cirm-math.fr/3653.html","organizers":["Nicolas Keriven (CNRS)","Catherine Matias (CNRS-LPSM)","Samuel Vaiter (Universite Cote d'Azur)"],"key_speakers":[],"topics":["graph neural networks","graph signal processing","statistical learning on graphs","random graphs","representation learning"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://conferences.cirm-math.fr/3653.html","https://conferences.cirm-math.fr/2026-calendar-by-events.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Method-focused (GNNs / graph signal processing) with applications spanning physical, social, and biological networks; science-domain depth is moderate -- flagged for review on fit.","featured":false},{"id":"ipam-emerging-algorithms-reliable-ai-2027-02","name":"Emerging Algorithms and Mathematical Paradigms for Reliable Next-Generation AI","short_name":null,"type":"workshop","status":"confirmed","domains":["mathematics","computational_science","physics","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2027-02-22","end":"2027-02-26","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Los Angeles","country":"United States","country_code":"US","venue":"Institute for Pure and Applied Mathematics (IPAM), UCLA","virtual_url":null},"description":"Academic and industry researchers discuss sampling algorithms and mathematical frameworks for reliable AI, with core applications in Bayesian inference, scientific simulation, and uncertainty quantification.","url":"https://www.ipam.ucla.edu/programs/workshops/emerging-algorithms-and-mathematical-paradigms-for-reliable-next-generation-ai/","organizers":["Ben Leimkuhler (University of Edinburgh)","Soledad Villar (Johns Hopkins University)","Andre Wibisono (Yale University)"],"key_speakers":[],"topics":["sampling algorithms","Bayesian inference","scientific simulation","uncertainty quantification","diffusion models","reliable AI"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.ipam.ucla.edu/programs/workshops/emerging-algorithms-and-mathematical-paradigms-for-reliable-next-generation-ai/","https://www.ipam.ucla.edu/all-upcoming-programs/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Science angle is via scientific simulation and uncertainty quantification; otherwise math-of-ML focused.","featured":false},{"id":"mlss-tuebingen-2026-08","name":"Machine Learning Summer School 2026 (MLSS 2026)","short_name":"MLSS 2026","type":"summer_school","status":"confirmed","domains":["computational_science","cross_disciplinary","general_science"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-08-31","end":"2026-09-11","submission_deadline":"2026-06-21","notification_date":"2026-06-29","registration_opens":"2026-04-30","registration_deadline":"2026-06-21","abstract_deadline":null},"location":{"city":"T\u00fcbingen","country":"Germany","country_code":"DE","venue":"Max Planck Institute for Intelligent Systems","virtual_url":null},"description":"The 50th edition of the Machine Learning Summer School, an intensive two-week program covering core ML methods through to state-of-the-art topics including a dedicated 'Machine Learning for Science' theme. First T\u00fcbingen edition since 2017.","url":"https://mlss2026.is.tuebingen.mpg.de/","organizers":["Max Planck Institute for Intelligent Systems","Bernhard Sch\u00f6lkopf","Lancelot Da Costa","Simon Buchholz","Hsiao-Ru Pan","CIFAR","ELLIS Institute T\u00fcbingen"],"key_speakers":[],"topics":["deep learning","foundation models and generative AI","probabilistic modelling and Bayesian methods","causal inference","machine learning for science","trustworthy ML"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://mlss2026.is.tuebingen.mpg.de/","https://mlss2026.is.tuebingen.mpg.de/dates/","https://mlss2026.is.tuebingen.mpg.de/programme/","https://is.mpg.de/en/events/mlss-2026-machine-learning-summer-school-2026-in-tubingen"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Application deadline June 21, 2026, decisions June 29, 2026. 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Registration via Google Form.","featured":false},{"id":"ellis-jena-summer-lecture-series-2026-06","name":"ELLIS Unit Jena Summer Lecture Series \u2014 Explainability & Understanding of Models","short_name":null,"type":"seminar_series","status":"confirmed","domains":["computational_science","climate_weather","earth_sciences","cross_disciplinary"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-06-01","end":"2026-07-08","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Jena","country":"Germany","country_code":"DE","venue":"Friedrich Schiller University Jena, Inselplatz 5 (hybrid)","virtual_url":null},"description":"Summer lecture series of the ELLIS Unit Jena (Friedrich Schiller University, MPI for Biogeochemistry, DLR) on explainability and understanding of ML models, in support of the unit's AI-for-Earth-and-climate-system-science mission.","url":"https://ellis.eu/events","organizers":["ELLIS Unit Jena","Max Planck Institute for Biogeochemistry","Markus Reichstein","Friedrich Schiller University Jena","DLR"],"key_speakers":["Hila Chefer (Tel Aviv University, talk June 1)","Margret Keuper (University of Mannheim, talk June 24)","Simone Schaub-Meyer (TU Darmstadt, talk July 8)"],"topics":["explainability","interpretability","trustworthy ML","deep vision models","AI for Earth system science"],"parent_conference":null,"registration_fee":"free","source_urls":["https://ellis.eu/events","https://www.bgc-jena.mpg.de/en/bgi/events"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"low","review_flag":true,"community_notes":"Lecture/seminar series rather than a single conference; co-hosted by MPI for Biogeochemistry via the ELLIS Unit Jena. Individual talks run June\u2013July 2026 (e.g., June 24, July 8). Topic is ML explainability framed within the unit's Earth/climate science focus.","featured":false},{"id":"biokdd-2026-08","name":"BIOKDD 2026: 25th International Workshop on Data Mining in Bioinformatics","short_name":"BIOKDD 2026","type":"workshop","status":"confirmed","domains":["genomics_bioinformatics","biology","drug_discovery"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-08-10","end":"2026-08-10","submission_deadline":"2026-05-14","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Jeju","country":"South Korea","country_code":"KR","venue":"International Convention Center Jeju (ICC Jeju)","virtual_url":null},"description":"Long-running KDD workshop applying data mining and machine learning to bioinformatics; the 2026 edition centers on the theme of Digital Twins for simulating disease trajectories and cell-cell communication.","url":"https://biokdd.org/biokdd26/","organizers":["BIOKDD organizing committee"],"key_speakers":[],"topics":["data mining in bioinformatics","digital twins","disease trajectory simulation","cell-cell communication","biomedical informatics"],"parent_conference":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026","registration_fee":"paid","source_urls":["https://biokdd.org/biokdd26/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"cv-for-science-cvpr-2026-06","name":"Computer Vision for Science Workshop at CVPR 2026","short_name":"CV4Science","type":"workshop","status":"past","domains":["astronomy_astrophysics","chemistry","biology","neuroscience","ecology_environment","materials_science","physics","earth_sciences","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-06-04","end":"2026-06-04","submission_deadline":"2026-04-24","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-04-24"},"location":{"city":"Denver","country":"United States","country_code":"US","venue":"Colorado Convention Center, Room 709","virtual_url":null},"description":"Half-day CVPR workshop bringing together computer vision researchers and scientists across astrophysics, chemistry, biology, neuroscience, ecology, materials and solar physics to foster interdisciplinary collaboration.","url":"https://sites.google.com/nyu.edu/computervisionforscience/","organizers":["Utkarsh Mall (MBZUAI)","Ye Zhu (Ecole Polytechnique)","Jing Zhang (NYU)","David Fouhey (NYU)"],"key_speakers":[],"topics":["computer vision for astrophysics","vision for biology","vision for neuroscience","vision for ecology","vision for materials science","solar physics","Earth observation"],"parent_conference":"IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026","registration_fee":"paid","source_urls":["https://sites.google.com/nyu.edu/computervisionforscience/","https://cvpr.thecvf.com/Conferences/2026/Workshops"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded June 4, 2026 (within 90-day window).","featured":false},{"id":"bionlp-acl-2026-07","name":"BioNLP 2026 and Shared Tasks at ACL 2026","short_name":"BioNLP 2026","type":"workshop","status":"confirmed","domains":["biology","genomics_bioinformatics","drug_discovery"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-07-03","end":"2026-07-04","submission_deadline":"2026-04-17","notification_date":"2026-05-04","registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"San Diego","country":"United States","country_code":"US","venue":null,"virtual_url":null},"description":"The primary ACL venue for natural language processing in biomedical and biological domains, associated with the ACL SIGBIOMED special interest group; the 2026 edition emphasizes evaluation frameworks and reliability for health use cases.","url":"https://www.aclweb.org/aclwiki/BioNLP_Workshop","organizers":["ACL SIGBIOMED special interest group"],"key_speakers":[],"topics":["biomedical NLP","clinical text","biomedical information extraction","evaluation frameworks","shared tasks"],"parent_conference":"64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)","registration_fee":"paid","source_urls":["https://www.aclweb.org/aclwiki/BioNLP_Workshop","https://linguistlist.org/issues/37/799/","https://2026.aclweb.org/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Exact workshop day (July 3 or 4) to be confirmed by ACL workshop schedule.","featured":false},{"id":"ecml-pkdd-2026-09","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2026","short_name":"ECML PKDD 2026","type":"conference","status":"confirmed","domains":["computational_science","cross_disciplinary","general_science"],"ai_focus":"minor_track","format":"in_person","audience":"mixed","dates":{"start":"2026-09-07","end":"2026-09-11","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Naples","country":"Italy","country_code":"IT","venue":"University of Naples Federico II / Mostra d'Oltremare","virtual_url":null},"description":"Europe's premier machine learning and knowledge-discovery conference, hosting an Applied Data Science track and domain workshops (health, energy, environment) on the first and last days.","url":"https://ecmlpkdd.org/2026/","organizers":["University of Naples Federico II"],"key_speakers":[],"topics":["machine learning","data mining","applied data science","knowledge discovery","scientific applications"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://ecmlpkdd.org/2026/","https://ecmlpkdd.org/2026/conference-venue/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Included as an ML conference with science-relevant applied and workshop tracks; AI-for-science presence is partial.","featured":false},{"id":"ieee-escience-2026-09","name":"22nd IEEE International Conference on eScience 2026","short_name":"eScience 2026","type":"conference","status":"confirmed","domains":["computational_science","general_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"academic","dates":{"start":"2026-09-28","end":"2026-10-02","submission_deadline":"2026-06-09","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Naples","country":"Italy","country_code":"IT","venue":null,"virtual_url":null},"description":"IEEE conference on computationally intensive and data-driven research across all scientific disciplines, with a strong track on AI, machine learning and large language models in scientific contexts, plus reproducible science and research computing infrastructure.","url":"https://www.escience-conference.org/2026/call-for-papers","organizers":["IEEE eScience 2026 organizing committee"],"key_speakers":[],"topics":["AI/ML and LLMs in science","research computing infrastructure","FAIR and reproducible science","scientific workflows","distributed computing","data management"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.escience-conference.org/2026/call-for-papers","https://www.escience-conference.org/2026/call-for-workshops"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"mrs-spring-2026-mt02-2026-04","name":"Symposium MT02: Automated Materials Discovery in the Big Data Era (2026 MRS Spring Meeting)","short_name":"MRS Spring 2026 MT02","type":"symposium","status":"past","domains":["materials_science","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-04-26","end":"2026-05-01","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Honolulu","country":"United States","country_code":"US","venue":"2026 MRS Spring Meeting venues, Honolulu","virtual_url":null},"description":"Symposium on tools for materials synthesis, processing and characterization that generate and leverage big data, with a focus on high-throughput experimentation, database development, and accelerating materials design through AI/ML and closed-loop experimental architectures.","url":"https://www.mrs.org/meetings-events/annual-meetings/archive/meeting/symposium-sessions/call-for-papers/2026-mrs-spring-meeting/Symposium-MT02-Automated-Materials-Discovery-in-the-Big-Data-Era","organizers":["Materials Research Society"],"key_speakers":[],"topics":["automated materials discovery","big data","high-throughput experimentation","machine learning","closed-loop experimentation","autonomous laboratories","materials databases"],"parent_conference":"2026 MRS Spring Meeting & Exhibit","registration_fee":"paid","source_urls":["https://www.mrs.org/meetings-events/annual-meetings/archive/meeting/symposium-sessions/call-for-papers/2026-mrs-spring-meeting/Symposium-MT02-Automated-Materials-Discovery-in-the-Big-Data-Era"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"mrs-fall-2026-ch05-2026-11","name":"Symposium CH05: Automated, Intelligent and Autonomous Materials Characterization\u2014From Single Techniques to Integrated Workflows (2026 MRS Fall Meeting)","short_name":"MRS Fall 2026 CH05","type":"symposium","status":"tentative","domains":["materials_science","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-11-29","end":"2026-12-04","submission_deadline":"2026-06-17","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-06-17"},"location":{"city":"Boston","country":"United States","country_code":"US","venue":"Hynes Convention Center and Sheraton Boston Hotel","virtual_url":null},"description":"Symposium on automated, intelligent and autonomous materials characterization, spanning single techniques to integrated AI-driven workflows. Part of the 2026 MRS Fall Meeting program; full symposium details to be finalized after the June 17, 2026 abstract deadline.","url":"https://www.mrs.org/meetings-events/annual-meetings/2026-mrs-fall-meeting/call-for-abstracts","organizers":["Materials Research Society"],"key_speakers":[],"topics":["autonomous characterization","intelligent materials characterization","automated workflows","machine learning","integrated experimental workflows"],"parent_conference":"2026 MRS Fall Meeting & Exhibit","registration_fee":"paid","source_urls":["https://www.mrs.org/meetings-events/annual-meetings/2026-mrs-fall-meeting/call-for-abstracts"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Exact symposium code (CH05) and title corroborated against the MRS Fall 2026 call for abstracts. Detailed session scheduling will be finalized after the June 17, 2026 abstract deadline.","featured":false},{"id":"ohbm-2026-06","name":"Organization for Human Brain Mapping 2026 Annual Meeting","short_name":"OHBM 2026","type":"conference","status":"past","domains":["neuroscience","computational_science"],"ai_focus":"major_track","format":"hybrid","audience":"academic","dates":{"start":"2026-06-14","end":"2026-06-18","submission_deadline":"2025-12-15","notification_date":null,"registration_opens":null,"registration_deadline":"2026-04-01","abstract_deadline":"2025-12-15"},"location":{"city":"Bordeaux","country":"France","country_code":"FR","venue":"Palais 2 l'Atlantique","virtual_url":null},"description":"The leading international meeting for human neuroimaging, where machine learning and deep learning methods for analyzing fMRI/EEG/MEG and brain mapping data feature prominently across symposia, educational courses and posters.","url":"https://humanbrainmapping.org/OHBM2026/","organizers":["Organization for Human Brain Mapping (OHBM)"],"key_speakers":[],"topics":["neuroimaging","fMRI","machine learning for brain data","brain mapping","deep learning"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://humanbrainmapping.org/OHBM2026/","https://jhbm.org/en/ohbm2026-1/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Early-registration discount ends April 1, 2026. Content/abstract submission closed December 15, 2025.","featured":false},{"id":"mlcn-2026-10","name":"Machine Learning in Clinical Neuroimaging 2026","short_name":"MLCN 2026","type":"workshop","status":"confirmed","domains":["neuroscience","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-10-01","end":"2026-10-01","submission_deadline":"2026-07-01","notification_date":"2026-07-31","registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Strasbourg","country":"France","country_code":"FR","venue":null,"virtual_url":null},"description":"MICCAI satellite workshop on machine learning methods for clinical neuroimaging, covering interpretable and scalable ML models for high-dimensional, longitudinal and heterogeneous brain-imaging data and translation to clinical practice.","url":"https://mlcnworkshop.github.io/","organizers":["MLCN Workshop Organizing Committee","AI2D","Yale","ELLIS Jena"],"key_speakers":[],"topics":["machine learning","clinical neuroimaging","brain disorders","interpretable models","precision medicine"],"parent_conference":"MICCAI 2026","registration_fee":"paid","source_urls":["https://mlcnworkshop.github.io/","https://mlcnworkshop.github.io/submission_registration/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Paper deadline July 1, 2026; notification July 31; camera-ready August 21, 2026. Proceedings historically published by Springer.","featured":false},{"id":"fens-forum-2026-07","name":"FENS Forum 2026","short_name":"FENS 2026","type":"conference","status":"confirmed","domains":["neuroscience"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-07-06","end":"2026-07-10","submission_deadline":"2026-01-05","notification_date":null,"registration_opens":null,"registration_deadline":"2026-06-02","abstract_deadline":"2026-04-27"},"location":{"city":"Barcelona","country":"Spain","country_code":"ES","venue":null,"virtual_url":null},"description":"The largest neuroscience conference in Europe, spanning the full spectrum of neuroscience, including a growing set of sessions on computational neuroscience, NeuroAI and machine-learning analysis of neural data.","url":"https://fensforum.org/","organizers":["Federation of European Neuroscience Societies (FENS)","Spanish Society of Neuroscience (SENC)"],"key_speakers":[],"topics":["neuroscience","computational neuroscience","neural data analysis","NeuroAI"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://fensforum.org/","https://fensforum.org/dates-and-deadlines/","https://www.fens.org/meetings/fens-forum/upcoming-fens-forums"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Regular abstracts closed Jan 5, 2026; late-breaking abstracts due Apr 27, 2026; regular registration deadline Jun 2, 2026. AI/ML content is a minor track within a broad neuroscience program.","featured":false},{"id":"iaifi-summer-workshop-2026-08","name":"2026 IAIFI Summer Workshop","short_name":"IAIFI Summer Workshop","type":"workshop","status":"confirmed","domains":["physics","astronomy_astrophysics","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-08-10","end":"2026-08-14","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":"2026-07-31","abstract_deadline":"2026-06-08"},"location":{"city":"Cambridge","country":"United States","country_code":"US","venue":"MIT","virtual_url":null},"description":"Annual workshop of the NSF Institute for Artificial Intelligence and Fundamental Interactions, with plenary talks, poster sessions, and an Industry Day, on AI for fundamental physics, high-energy physics, astrophysics, gravitational waves, and cosmology.","url":"https://iaifi.org/summer-workshop.html","organizers":["NSF IAIFI","Will Detmold (MIT)","Bill Freeman (MIT)"],"key_speakers":[],"topics":["AI for fundamental physics","high-energy physics","astrophysics","gravitational waves","cosmology","scientific machine learning"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://iaifi.org/summer-workshop.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Registration fee $200 USD. Includes Aug 14 IAIFI Industry Day.","featured":false},{"id":"qtml-2026-12","name":"10th International Conference on Quantum Techniques in Machine Learning (QTML 2026)","short_name":"QTML 2026","type":"conference","status":"confirmed","domains":["physics","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-12-06","end":"2026-12-11","submission_deadline":"2026-06-30","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-06-30"},"location":{"city":"Stellenbosch","country":"South Africa","country_code":"ZA","venue":"Jan Mouton Learning Centre, Stellenbosch University","virtual_url":null},"description":"The 10th edition of the Quantum Techniques in Machine Learning conference, bridging quantum computing and machine learning across quantum neural networks, variational algorithms, kernel methods, ML-guided error mitigation, and applications in chemistry and materials science.","url":"https://qtml2026.nithecs.ac.za/","organizers":["Stellenbosch University","National Institute for Theoretical and Computational Sciences (NITheCS)","Amira Abbas (Google)","Adrian Perez Salinas (ETH Zurich / UPM)"],"key_speakers":[],"topics":["quantum neural networks","variational quantum algorithms","quantum kernel methods","quantum generative models","quantum error correction","quantum optimization","quantum machine learning"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://qtml2026.nithecs.ac.za/","https://qtml2026.nithecs.ac.za/about"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Abstract submissions open until June 30, 2026.","featured":false},{"id":"aps-global-physics-summit-2027-04","name":"APS Global Physics Summit 2027 (Joint March Meeting and April Meeting)","short_name":"APS Global Physics Summit 2027","type":"conference","status":"confirmed","domains":["physics","materials_science","computational_science","cross_disciplinary"],"ai_focus":"minor_track","format":"hybrid","audience":"academic","dates":{"start":"2027-04-11","end":"2027-04-16","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Atlanta","country":"United States","country_code":"US","venue":"Georgia World Congress Center","virtual_url":null},"description":"The 2027 edition of the world's largest physics research conference, with expected ~14,000 attendees and machine learning / data science focus sessions across condensed matter, particle physics, and other APS units.","url":"https://www.aps.org/events/2027/summit","organizers":["American Physical Society (APS)"],"key_speakers":[],"topics":["condensed matter physics","particle physics","machine learning","data science","quantum information"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.aps.org/events/2027/summit","https://www.aps.org/events/2027"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"AI/ML appears as focus sessions within a broad physics meeting rather than a dedicated track.","featured":false},{"id":"laccmss-2026-06","name":"Los Alamos Computational Condensed Matter Summer School 2026","short_name":"LACCMSS 2026","type":"summer_school","status":"confirmed","domains":["physics","materials_science","computational_science"],"ai_focus":"minor_track","format":"in_person","audience":"student_focused","dates":{"start":"2026-06-15","end":"2026-06-26","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-01-18"},"location":{"city":"Los Alamos","country":"United States","country_code":"US","venue":"Los Alamos National Laboratory","virtual_url":null},"description":"A two-week pedagogical summer school on theoretical and computational techniques for quantum materials, combining many-body theory and modern computational methods with material informatics and ML/AI tools.","url":"https://laccmss.github.io/2026/","organizers":["Los Alamos National Laboratory","Christopher Lane","Roxanne Tutchton","Elizabeth Peterson","Jianxin Zhu","Ying Wai Li"],"key_speakers":[],"topics":["density functional theory","electronic structure","many-body theory","experimental spectroscopies","material informatics","ML/AI for quantum materials"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://laccmss.github.io/2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Application deadline (Jan 18, 2026) recorded in abstract_deadline; applications closed. ML/AI is one module within a broader computational condensed matter curriculum.","featured":false},{"id":"ieee-quantum-week-qce-2026-09","name":"2026 IEEE International Conference on Quantum Computing and Engineering (IEEE Quantum Week / QCE26)","short_name":"QCE26","type":"conference","status":"confirmed","domains":["physics","computational_science","cross_disciplinary"],"ai_focus":"minor_track","format":"hybrid","audience":"mixed","dates":{"start":"2026-09-13","end":"2026-09-18","submission_deadline":"2026-04-27","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-04-27"},"location":{"city":"Toronto","country":"Canada","country_code":"CA","venue":"Metro Toronto Convention Centre (MTCC)","virtual_url":null},"description":"The seventh IEEE Quantum Week, a premier international forum for quantum computing and engineering, featuring 16-18 parallel tracks per day and a quantum machine learning workshop (QML@QCE), with a theme on the convergence of generative AI and quantum systems.","url":"https://qce.quantum.ieee.org/2026/","organizers":["IEEE","IEEE Computer Society","IEEE Quantum"],"key_speakers":[],"topics":["quantum computing","quantum machine learning","quantum software engineering","generative AI","distributed quantum systems"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://qce.quantum.ieee.org/2026/","https://qce.quantum.ieee.org/2026/key-deadlines/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Quantum-engineering focused; quantum ML appears as a workshop/track (QML@QCE) rather than the whole event. Technical paper window Apr 13-27, 2026; workshop papers due Jun 29, 2026.","featured":false},{"id":"nuqai-2026-08","name":"Nuclear Physics at the Quantum-AI Frontier (NuQAI 2026)","short_name":"NuQAI 2026","type":"workshop","status":"confirmed","domains":["physics","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-08-03","end":"2026-08-04","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Cambridge","country":"United States","country_code":"US","venue":"MIT, Building 36, 50 Vassar St","virtual_url":null},"description":"A two-day workshop bringing together leaders from DOE quantum research centers and NSF AI institutes, focused on aligning technical goals for the DOE's Genesis initiative in nuclear and high-energy physics.","url":"https://iaifi.org/related-events.html","organizers":["Co-design Center for Quantum Advantage (C2QA)","MIT Laboratory for Nuclear Science (LNS)","NSF IAIFI"],"key_speakers":[],"topics":["nuclear physics","quantum computing","AI for nuclear and high-energy physics","lattice QCD","DOE Genesis initiative"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://iaifi.org/related-events.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Two-day town-hall workshop co-organized by C2QA, MIT LNS, and IAIFI to align goals for the DOE Genesis initiative. Dates (Aug 3-4, 2026) and venue (MIT Building 36) confirmed on the IAIFI related-events listing.","featured":false},{"id":"usnccm19-2027-07","name":"19th U.S. National Congress on Computational Mechanics","short_name":"USNCCM19","type":"conference","status":"confirmed","domains":["computational_science","materials_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2027-07-25","end":"2027-07-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Pasadena","country":"United States","country_code":"US","venue":"Pasadena Convention Center","virtual_url":null},"description":"National computational mechanics congress with a designated scientific machine learning theme spanning surrogate modeling, physics-informed and operator learning for mechanics, materials, and biomedical systems.","url":"https://usnccm19.usacm.org/","organizers":["U.S. Association for Computational Mechanics (USACM)","Assad Oberai (USC)","Roger Ghanem (USC)"],"key_speakers":[],"topics":["scientific machine learning","surrogate modeling","physics-informed learning","computational mechanics","advanced manufacturing"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://usnccm19.usacm.org/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"ercoftac-ml4fd-2027-04","name":"4th ERCOFTAC Workshop on Machine Learning for Fluid Dynamics","short_name":"ML4FD 2027","type":"workshop","status":"confirmed","domains":["computational_science","physics","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2027-04-07","end":"2027-04-09","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Florence","country":"Italy","country_code":"IT","venue":"Museo Degli Innocenti","virtual_url":null},"description":"Fourth edition of the ERCOFTAC SIG54 workshop on machine learning applied to fluid dynamics, covering data-driven and reduced-order surrogate models, ML-accelerated flow solvers, flow control, super-resolution, and uncertainty quantification.","url":"https://www.ercoftac.org/special_interest_groups/54-machine-learning-for-fluid-dynamics/","organizers":["ERCOFTAC Special Interest Group 54 (Machine Learning for Fluid Dynamics)"],"key_speakers":[],"topics":["data-driven turbulence modeling","reduced-order models","surrogate models","ML-accelerated flow solvers","flow control","super-resolution","uncertainty quantification"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.ercoftac.org/special_interest_groups/54-machine-learning-for-fluid-dynamics/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":false,"community_notes":"Save-the-date announced; full program, organizers and deadlines not yet released.","featured":false},{"id":"siam-mds26-2026-11","name":"SIAM Conference on Mathematics of Data Science (MDS26)","short_name":"SIAM MDS26","type":"conference","status":"confirmed","domains":["mathematics","computational_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2026-11-16","end":"2026-11-20","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Salt Lake City","country":"United States","country_code":"US","venue":"Calvin L. Rampton Salt Palace Convention Center","virtual_url":null},"description":"SIAM's conference on the mathematical foundations of data science, covering machine learning theory, statistical modelling, optimization and tensor methods. Held jointly with the SIAM Conference on Imaging Science (IS26) and the SIAM International Conference on Data Mining (SDM26).","url":"https://www.siam.org/conferences-events/siam-conferences/mds26/","organizers":["Society for Industrial and Applied Mathematics (SIAM)"],"key_speakers":[],"topics":["mathematics of data science","machine learning theory","statistical modelling","optimization","tensor methods","data mining"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.siam.org/conferences-events/siam-conferences/mds26/","https://www.visitsaltlake.com/event/siam-2026-conference-on-mathematics-of-data-science-(mds26)/conventions_45733/","https://www.mathsci.ai/talk/siam-mds26/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Submission/minisymposium deadlines not confirmed from official page at verification time.","featured":false},{"id":"scipy-2026-2026-07","name":"SciPy 2026: 25th Annual Python in Science Conference","short_name":"SciPy 2026","type":"conference","status":"confirmed","domains":["computational_science","physics","astronomy_astrophysics","climate_weather","earth_sciences","biology","cross_disciplinary"],"ai_focus":"major_track","format":"hybrid","audience":"mixed","dates":{"start":"2026-07-13","end":"2026-07-19","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Minneapolis","country":"United States","country_code":"US","venue":"McNamara Alumni Center, University of Minnesota","virtual_url":null},"description":"The annual Python in Science conference for open-source scientific computing, featuring a dedicated 'Data-Driven Discovery, Machine Learning and Artificial Intelligence' track alongside physics/astronomy, environmental/climate, and biological/medical science tracks. Two days of tutorials (Jul 13-14), three conference days (Jul 15-17), and two days of sprints (Jul 18-19).","url":"https://www.scipy2026.scipy.org/","organizers":["NumFOCUS"],"key_speakers":["Thomas Caswell (Matplotlib Project Lead)","Amber Case (Calm Tech Institute)","Joseph H. Kennedy (Alaska Satellite Facility)"],"topics":["machine learning","artificial intelligence","data-driven discovery","scientific Python","physics and astronomy","climate and earth science","biological and medical sciences"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.scipy2026.scipy.org/","https://www.scipy2026.scipy.org/about","https://inspirehep.net/conferences/3116426"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"sc26-2026-11","name":"SC26: The International Conference for High Performance Computing, Networking, Storage, and Analysis","short_name":"SC26","type":"conference","status":"confirmed","domains":["computational_science","cross_disciplinary","general_science"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2026-11-15","end":"2026-11-20","submission_deadline":"2026-04-08","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-04-01"},"location":{"city":"Chicago","country":"United States","country_code":"US","venue":"McCormick Place Convention Center","virtual_url":null},"description":"The premier international HPC conference, with extensive AI/ML-for-science content across technical papers, tutorials, and 50 accepted workshops spanning generative AI for science, AI4S, scalable AI for scientific imaging, and HPC-driven ML for climate, materials and biology. Workshops run Sun Nov 15, Mon Nov 16, and Fri Nov 20.","url":"https://sc26.supercomputing.org/","organizers":["ACM","IEEE Computer Society"],"key_speakers":[],"topics":["high-performance computing","machine learning","AI for science","scientific computing","data analysis","HPC-AI convergence"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://sc26.supercomputing.org/","https://sc26.supercomputing.org/all-dates-deadlines/","https://sc26.supercomputing.org/attendees/chicago/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Submission_deadline/abstract_deadline shown are for technical papers; workshops, tutorials, BoF and posters have separate deadlines.","featured":false},{"id":"ai4s-sc26-2026-11","name":"AI4S: 8th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications","short_name":"AI4S","type":"workshop","status":"confirmed","domains":["computational_science","climate_weather","materials_science","drug_discovery","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-11-16","end":"2026-11-16","submission_deadline":"2026-08-08","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-08-08"},"location":{"city":"Chicago","country":"United States","country_code":"US","venue":"McCormick Place Convention Center","virtual_url":null},"description":"Dedicated SC26 workshop on applying AI/ML to scientific discovery, covering generative AI for scientific workflows, energy-efficient AI training, domain-knowledge integration, interpretability, and HPC-scale AI applications across climate modelling, materials discovery and drug development. Held Monday, November 16.","url":"https://ai4s.github.io/","organizers":["Gokcen Kestor (Barcelona Supercomputing Center)","Dong Li (UC Merced)","Murali Krishna Emani (Argonne National Laboratory)","Wenqian Dong (Oregon State University)"],"key_speakers":[],"topics":["AI for science","generative AI for scientific workflows","energy-efficient AI training","interpretability","climate modelling","materials discovery","drug development"],"parent_conference":"SC26","registration_fee":"paid","source_urls":["https://ai4s.github.io/","https://sc26.supercomputing.org/2026/04/a-gold-standard-sc26-welcomes-50-workshops-to-chicago/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Date (Mon Nov 16) and Aug 8 2026 submission deadline confirmed from the AI4S site; SC26 official list titles this the 8th edition while the workshop site text reads 7th.","featured":false},{"id":"tpw-sc26-2026-11","name":"4th Annual Trillion Parameter Workshop: Building Open AI Infrastructure, Models, and Agentic Systems for Science","short_name":"TPW26","type":"workshop","status":"confirmed","domains":["computational_science","general_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-11-01","end":null,"submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Chicago","country":"United States","country_code":"US","venue":"McCormick Place Convention Center","virtual_url":null},"description":"SC26 workshop on building open large-scale AI infrastructure, foundation models, and agentic systems for scientific applications, focused on trillion-parameter-class models for science.","url":"https://sc26.supercomputing.org/program/workshops/","organizers":["SC26 Workshops Committee"],"key_speakers":[],"topics":["large AI models for science","open AI infrastructure","agentic systems for science","foundation models","high-performance computing"],"parent_conference":"SC26","registration_fee":"paid","source_urls":["https://sc26.supercomputing.org/2026/04/a-gold-standard-sc26-welcomes-50-workshops-to-chicago/","https://sc26.supercomputing.org/program/workshops/","https://tpc26.org/agenda-2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Confirmed on the official SC26 50-workshop list (proceedings track); exact day within the SC26 workshop days (Nov 15/16/20) and submission deadline not yet confirmed from a dedicated workshop page.","featured":false},{"id":"ccn-neural-data-analysis-fens-2026-07","name":"CCN Neural Data Analysis Workshop @ FENS 2026","short_name":null,"type":"workshop","status":"confirmed","domains":["neuroscience","computational_science"],"ai_focus":"major_track","format":"in_person","audience":"student_focused","dates":{"start":"2026-07-03","end":"2026-07-04","submission_deadline":"2026-04-10","notification_date":"2026-04-27","registration_opens":null,"registration_deadline":"2026-04-10","abstract_deadline":null},"location":{"city":"Barcelona","country":"Spain","country_code":"ES","venue":"Melia Barcelona Sky Hotel","virtual_url":null},"description":"A hands-on Flatiron CCN workshop teaching open-source statistical and machine-learning tools (pynapple and NeMoS) for analyzing neural data, including generalized linear models (GLMs) and GLM-HMMs applied to electrophysiology and calcium imaging, held as a satellite of FENS 2026.","url":"https://www.simonsfoundation.org/event/ccn_fens2026/","organizers":["Edoardo Balzani (Flatiron CCN)","Billy Broderick (NeuroRSE)","Sarah Jo Venditto","Guillaume Viejo"],"key_speakers":[],"topics":["neural data analysis","pynapple","NeMoS","generalized linear models","GLM-HMM","electrophysiology","calcium imaging","machine learning"],"parent_conference":"FENS Forum 2026","registration_fee":"free","source_urls":["https://www.simonsfoundation.org/event/ccn_fens2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Application deadline (Apr 10, 2026) has passed; event itself is upcoming. Statistical/ML tooling workshop (GLMs, NeMoS) for neuroscience data.","featured":false},{"id":"ml2md-uppsala-2026-06","name":"Machine Learning for Materials and Molecular Discoveries Symposium 2026","short_name":"ML2MD 2026","type":"symposium","status":"past","domains":["materials_science","chemistry"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-06-17","end":"2026-06-19","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Uppsala","country":"Sweden","country_code":"SE","venue":"\u00c5ngstr\u00f6mlaboratoriet, Uppsala University","virtual_url":null},"description":"Symposium on machine learning for materials and molecular discovery, covering generative AI, ML-accelerated simulations, automation/experiments, and foundation models for materials and molecules. Organized via WASP.","url":"https://wasp-sweden.org/event/machine-learning-for-materials-and-molecular-discoveries-ml2md-symposium/","organizers":["Roc\u00edo Mercado Oropeza (Chalmers)","Chao Zhang (Uppsala University)","WASP"],"key_speakers":["Qing Chen (Thermo-Calc)"],"topics":["generative AI for materials and molecules","ML-accelerated simulations","automation and experiments","foundation models for materials"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://wasp-sweden.org/event/machine-learning-for-materials-and-molecular-discoveries-ml2md-symposium/","https://thermocalc.com/events/ml2md-2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"","featured":false},{"id":"schmidt-center-biomed-ai-2026-04","name":"2026 Schmidt Center Symposium: Biomedical Science and AI","short_name":"EWSC Symposium 2026","type":"symposium","status":"past","domains":["biology","drug_discovery","genomics_bioinformatics","general_science"],"ai_focus":"dedicated","format":"hybrid","audience":"academic","dates":{"start":"2026-04-28","end":"2026-04-29","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Cambridge","country":"United States","country_code":"US","venue":"Broad Institute Auditorium","virtual_url":null},"description":"The second annual symposium of the Eric and Wendy Schmidt Center (Broad Institute) bringing together researchers who develop foundations of machine learning and apply them to understand the programs of life, covering how ML reveals insights into biomedical questions and how those questions drive foundational ML advances.","url":"https://www.ericandwendyschmidtcenter.org/events/2026-schmidt-center-symposium-biomedical-science-and-ai","organizers":["Eric and Wendy Schmidt Center","Broad Institute"],"key_speakers":["Caroline Uhler","Jennifer Listgarten","Naama Barkai","Michael Bronstein","Ellen Zhong","Valentina Boeva","Bianca Dumitrascu"],"topics":["machine learning for biomedicine","protein sequence generative models","transcription factor binding","biomolecular structure determination","cancer foundation models","spatial transcriptomics","drug discovery","foundations of machine learning"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.ericandwendyschmidtcenter.org/events/2026-schmidt-center-symposium-biomedical-science-and-ai","https://www.ericandwendyschmidtcenter.org/symposia/ewsc-symposium-2026","https://events.broadinstitute.org/event/schmidt-center-symposium-on-biomedical-science-and-ai-1878"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded 28-29 Apr 2026 (within 90-day window). Verified against official symposia page: Broad Institute Auditorium, 415 Main Street, Cambridge MA, plus virtual. Speaker list confirmed (Uhler, Listgarten, Barkai, Bronstein, Zhong, Boeva, Dumitrascu). Recorded talks at broad.io/watch-ewsc-symposium26. The Eric and Wendy Schmidt Center is funded by Schmidt Sciences / Eric and Wendy Schmidt.","featured":false},{"id":"synergy-ai-physics-tokyo-2026-03","name":"International Symposium: Synergy of AI and Physics","short_name":"Synergy of AI and Physics 2026","type":"symposium","status":"past","domains":["physics","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-03-08","end":"2026-03-08","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Tokyo","country":"Japan","country_code":"JP","venue":"Yasuda Auditorium, The University of Tokyo, Hongo Campus","virtual_url":null},"description":"Symposium on the intersection of AI and physics \u2014 generative AI foundations, diffusion models, quantum computing, and the mathematical frameworks linking the two fields \u2014 co-hosted by The University of Tokyo and RIKEN. Concluded recently; registration had reached full capacity.","url":"https://thermo-ai.riken.jp/en.html","organizers":["The University of Tokyo","RIKEN","Daikin Industries, Ltd. (supporter)"],"key_speakers":["Shun-ichi Amari (Teikyo University)","Daisuke Okanohara (Preferred Networks)","Jascha Sohl-Dickstein (Anthropic)","Yutaka Matsuo (University of Tokyo)","Max Welling (University of Amsterdam/CuspAI)","Hirosi Ooguri (Caltech/University of Tokyo)"],"topics":["AI and physics","generative AI foundations","diffusion models","quantum computing","mathematical frameworks of AI"],"parent_conference":null,"registration_fee":"free","source_urls":["https://thermo-ai.riken.jp/en.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded 2026-03-08 (Yasuda Auditorium, UTokyo Hongo Campus; verified via official page). Within the ~90-day historical recency window.","featured":false},{"id":"near-field-cosmology-bigdata-2026-07","name":"Near Field Cosmology in the Era of Big Data: Local Group and Beyond","short_name":null,"type":"workshop","status":"confirmed","domains":["astronomy_astrophysics","physics"],"ai_focus":"minor_track","format":"in_person","audience":"academic","dates":{"start":"2026-07-20","end":"2026-07-24","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Toronto","country":"Canada","country_code":"CA","venue":"Fields Institute for Research in Mathematical Sciences, Room 230","virtual_url":null},"description":"Workshop on how upcoming astronomical surveys (Rubin, Euclid, DESI, SDSS) will transform near-field cosmology, bringing together astronomers and data-science specialists building machine-learning and statistical tools for petabyte-scale data. Afternoons feature hands-on ML/data tutorials on the newest observational and simulation datasets.","url":"https://www2.fields.utoronto.ca/activities/26-27/Nearfieldcosmology","organizers":["Fields Institute for Research in Mathematical Sciences","Ting Li (University of Toronto), Chair","Jo Bovy","Denis Erkal","Azadeh Fattahi","Alex Ji","Alan McConnachie","Sarah Pearson","Nora Shipp"],"key_speakers":[],"topics":["near-field cosmology","dark matter","stellar streams","dwarf galaxies","machine learning for astronomy","petabyte-scale survey data","statistical tools"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www2.fields.utoronto.ca/activities/26-27/Nearfieldcosmology"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Astronomy/cosmology workshop with a substantial but not dominant ML/data-science component (hands-on tutorials + data-science specialist participation). AI is a minor track, not the headline.","featured":false},{"id":"ku-ai-life-science-summer-school-2026-08","name":"AI and Data Science -- Applications and Opportunities in Health Sciences (AI in Life Science Summer School)","short_name":"AI in Life Science Summer School","type":"summer_school","status":"confirmed","domains":["biology","drug_discovery","genomics_bioinformatics","neuroscience"],"ai_focus":"dedicated","format":"in_person","audience":"student_focused","dates":{"start":"2026-08-10","end":"2026-08-21","submission_deadline":null,"notification_date":"2026-06-01","registration_opens":null,"registration_deadline":"2026-05-15","abstract_deadline":null},"location":{"city":"Copenhagen","country":"Denmark","country_code":"DK","venue":"University of Copenhagen, Norregade 10","virtual_url":null},"description":"Intensive two-week summer school for PhD students and early-career researchers on how data-driven AI is transforming healthcare and the life sciences, leveraging Denmark's health data infrastructure.","url":"https://lifesciencesummerschool.ku.dk/","organizers":["University of Copenhagen","Danish universities consortium","Danish Agency for Higher Education and Science"],"key_speakers":[],"topics":["AI in health","data science in healthcare","machine learning","bioinformatics","biostatistics","epidemiology"],"parent_conference":null,"registration_fee":"free","source_urls":["https://lifesciencesummerschool.ku.dk/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Capped at 60 enrollees; ~5 ECTS. Includes excursions to other Danish universities.","featured":false},{"id":"tum-gni-ai-built-world-2026-05","name":"TUM GNI International Symposium 2026: Artificial Intelligence for the Built World","short_name":"TUM GNI AI Symposium 2026","type":"symposium","status":"past","domains":["computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-05-18","end":"2026-05-20","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Munich","country":"Germany","country_code":"DE","venue":"Oskar von Miller Forum, Oskar-von-Miller-Ring 25","virtual_url":null},"description":"International symposium on AI applications across architecture, engineering, construction and operations, covering digital twins, sensed infrastructure, sustainable design, and robotics.","url":"https://events.gni.tum.de/ai-symposium-2026/","organizers":["TUM Georg Nemetschek Institute (TUM GNI)","TUM Venture Labs"],"key_speakers":["Daniel Cremers (TUM)","Olga Fink (EPFL)","Mani Golparvar-Fard (UIUC)","Ghang Lee (Yonsei)","Jorn Plonnigs (University of Rostock)"],"topics":["digital twins","AI for construction","sensed infrastructure","sustainable design","robotics","computer vision"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://events.gni.tum.de/ai-symposium-2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":true,"community_notes":"Concluded within the last 90 days (ended 2026-05-20). Engineering/built-environment focus rather than natural sciences -- flagged for relevance review.","featured":false},{"id":"eth-uzh-ai-applied-economics-2026-09","name":"5th Zurich Workshop in AI & Applied Economics","short_name":"Zurich AI & Applied Economics Workshop","type":"workshop","status":"confirmed","domains":["social_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-09-11","end":"2026-09-12","submission_deadline":"2026-05-08","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Zurich","country":"Switzerland","country_code":"CH","venue":"ETH Zurich / University of Zurich","virtual_url":null},"description":"Workshop bringing together economists applying AI tools (machine learning, NLP, computer vision) to empirical economic research, and those studying the economics of AI technologies.","url":"https://lawecon.ethz.ch/conferences-workshops/workshop-in-ai-and-economics.html","organizers":["Elliott Ash (ETH Zurich)","Sergio Galletta (Sapienza)","Joachim Voth (University of Zurich)","David Yanagizawa-Drott (University of Zurich)"],"key_speakers":[],"topics":["machine learning in economics","natural language processing","computer vision","economics of AI"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://lawecon.ethz.ch/conferences-workshops/workshop-in-ai-and-economics.html"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"By-registration only, closed to public. 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Admits ~15-20 PhD students; no registration fee. Includes participation in the Zurich Workshop in AI & Applied Economics (Sep 11-12).","featured":false},{"id":"kth-df-intelligent-systems-healthcare-2026-08","name":"Digital Futures Workshop Days on Intelligent Systems for Healthcare","short_name":"Intelligent Systems for Healthcare Workshop","type":"workshop","status":"confirmed","domains":["biology","drug_discovery","computational_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-08-26","end":"2026-08-27","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Stockholm","country":"Sweden","country_code":"SE","venue":"KTH Royal Institute of Technology / Digital Futures","virtual_url":null},"description":"Two-day workshop hosted by Digital Futures at KTH on intelligent systems and AI applied to healthcare and digital health research.","url":"https://www.digitalfutures.kth.se/events/","organizers":["Digital Futures (KTH Royal Institute of Technology)"],"key_speakers":[],"topics":["intelligent systems for healthcare","digital health","AI in medicine"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://www.digitalfutures.kth.se/events/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Listed on the Digital Futures events page; dedicated event page and full agenda not yet confirmed. Title and dates verified from the events listing.","featured":false},{"id":"mlls-retreat-2026-06","name":"MLLS Retreat 2026 (Machine Learning for Life Science)","short_name":"MLLS Retreat 2026","type":"other","status":"past","domains":["biology","drug_discovery","genomics_bioinformatics"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-06-08","end":"2026-06-11","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Isaberg","country":"Sweden","country_code":"SE","venue":"Isaberg","virtual_url":null},"description":"Annual retreat of the Machine Learning for Life Science (MLLS) network (anchored at University of Copenhagen) for professors and students, featuring hackathons and research networking on ML applied to the life sciences.","url":"https://mlls.dk/","organizers":["Machine Learning for Life Science (MLLS)","University of Copenhagen"],"key_speakers":[],"topics":["machine learning for life science","generative models","biomolecular modeling","hackathons"],"parent_conference":null,"registration_fee":"unknown","source_urls":["https://mlls.dk/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Internal network retreat (not an open conference); included as a real dated AI-for-life-science gathering. 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OxML 2026 also runs MLx Cases and MLx Representation Learning & GenAI tracks whose exact dates were not confirmable (main site is JS-rendered).","featured":false},{"id":"aiih-imperial-2026-08","name":"AIiH 2026: 3rd International Conference on Artificial Intelligence in Healthcare","short_name":"AIiH 2026","type":"conference","status":"confirmed","domains":["drug_discovery","biology","general_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-08-26","end":"2026-08-28","submission_deadline":"2026-06-30","notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":"2026-06-30"},"location":{"city":"London","country":"United Kingdom","country_code":"GB","venue":"Sir Alexander Fleming Building, Imperial College London","virtual_url":null},"description":"Third International Conference on AI in Healthcare, hosted at Imperial College London, covering AI-driven diagnosis, predictive analytics, medical imaging, digital pathology, precision medicine, pharmacology, and AI ethics. Accepted full papers appear in Springer LNCS.","url":"https://aiih.cc/","organizers":["AIiH (AI in Healthcare) conference","Imperial College London"],"key_speakers":[],"topics":["AI-driven diagnosis","predictive analytics","medical imaging analysis","digital pathology","precision medicine","pharmacology","ethics of AI in healthcare"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://aiih.cc/","https://intuitionlabs.ai/conferences/aiih-2026-ai-in-healthcare-imperial-college"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Late-breaking abstracts / STARS submissions due 30 June 2026 (firm). Banquet at King's College London Great Hall. Previous editions: Swansea 2024, Cambridge 2025.","featured":false},{"id":"mi4h-imperial-2026-05","name":"Machine Intelligence for Health Conference 2026","short_name":"MI4H 2026","type":"conference","status":"past","domains":["drug_discovery","biology","general_science"],"ai_focus":"dedicated","format":"in_person","audience":"academic","dates":{"start":"2026-05-27","end":"2026-05-28","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Coventry","country":"United Kingdom","country_code":"GB","venue":"The Slate, Warwick Conferences, University of Warwick, CV4 7SH","virtual_url":null},"description":"Conference convened by Imperial-led AI for Healthcare Centres bringing together doctoral and early-career researchers on AI for health, covering medical image analysis, foundation models for health data, explainable AI, drug discovery, and clinical translation.","url":"https://www.imperial.ac.uk/events/207949/machine-intelligence-for-health-conference-mi4h/","organizers":["AI for Healthcare Centres at Imperial College London","CDTs at UCL, University of Leeds, University of Edinburgh","UK Research and Innovation (UKRI)"],"key_speakers":["Dimitris Spathis (Google)","Sinead O'Connor (Trinity College Dublin)","Gabi Commatteo (MHRA)"],"topics":["medical image analysis","clinical decision support","foundation models for health","explainable AI","drug discovery","privacy-preserving machine learning"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.imperial.ac.uk/events/207949/machine-intelligence-for-health-conference-mi4h/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"high","review_flag":false,"community_notes":"Concluded within the last 90 days (27-28 May 2026). Registration was GBP 275 (now closed). Held off-campus at Warwick but organized by Imperial-led AI4Health centres.","featured":false},{"id":"imperial-industrial-ai-data-science-workshop-2026-06","name":"Industrial AI and Data Science Workshop 2026","short_name":null,"type":"workshop","status":"past","domains":["chemistry","computational_science","cross_disciplinary"],"ai_focus":"dedicated","format":"in_person","audience":"mixed","dates":{"start":"2026-06-16","end":"2026-06-18","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"London","country":"United Kingdom","country_code":"GB","venue":"Roderic Hill Building (RODH617), South Kensington Campus, Imperial College London","virtual_url":null},"description":"Hands-on three-day workshop run by the Sargent Centre at Imperial on applying industrial AI and data science to process-engineering data, covering regression, anomaly detection, batch process analytics, asset monitoring, and agentic/generative-AI workflows.","url":"https://www.imperial.ac.uk/events/205922/industrial-ai-and-data-science-workshop-2026/","organizers":["Sargent Centre for Process Systems Engineering, Imperial College London"],"key_speakers":[],"topics":["industrial AI","regression","anomaly detection","batch process analytics","agentic workflows","generative AI for process engineering"],"parent_conference":null,"registration_fee":"paid","source_urls":["https://www.imperial.ac.uk/events/205922/industrial-ai-and-data-science-workshop-2026/"],"last_verified":"2026-06-22","added_date":"2026-06-22","confidence":"medium","review_flag":true,"community_notes":"Applied/industrial process-engineering ML rather than basic-science AI; included for chemical-engineering relevance. IChemE-approved course. 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AI applied to research across disciplines.","featured":false},{"id":"umich-micde-predictive-science-2026-04","name":"2026 MICDE Predictive Science Symposium","short_name":"MICDE Predictive Science Symposium","type":"symposium","status":"past","domains":["computational_science","general_science","cross_disciplinary"],"ai_focus":"major_track","format":"in_person","audience":"mixed","dates":{"start":"2026-04-14","end":"2026-04-15","submission_deadline":null,"notification_date":null,"registration_opens":null,"registration_deadline":null,"abstract_deadline":null},"location":{"city":"Ann Arbor","country":"United States","country_code":"US","venue":"University of Michigan","virtual_url":null},"description":"Symposium on predictive science fueled by advances in AI and high-performance computing, bringing together researchers in HPC, verification/validation, uncertainty quantification, and AI. 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