Related Events

Upcoming External Events

  • Advanced Artificial Intelligence for Precision High Energy Physics, The Università degli Studi di Milano (Italy), Nikhef and Vrije Universiteit Amsterdam (The Netherlands), and the Higgs Centre for Theoretical Physics, Edinburgh University (UK)
    • Monday, July 14, 2025 – Friday, July 25, 2025
    • Lake Como School of Advanced Studies (Como, Italy)
    • Artificial intelligence techniques are becoming increasingly important in high energy physics (HEP), with a range of applications that goes from analytic computations and symbolic regression to modeling, optimization and pattern recognition. Many of these applications tackle cutting-edge problems in machine learning (ML), and in fact address issues, such as the need to accurate uncertainty estimations, that are often disregarded in the most common ML applications. The goal of this school is to provide hands-on training on cutting edge machine learning methods in HEP by combining extensive advanced courses taught with extended tutorial sessions. The tutorials will exploit as a playing ground the NNPDF open-source code, which, originally aimed at the determination of parton distribution, makes use of a variety of current ML, statistical and analysis tools and techniques of wide applicability.
  • CNTR Tech & Policy Summer School, Brown University Center for Technological Responsibility, Reimagination and Redesign (CNTR)
    • Tuesday, July 22, 2025 – Thursday, July 31, 2025
    • Providence, RI and Washington, DC
    • Redesign (CNTR) is launching an AI Policy Summer School from Tuesday, July 22nd, through Thursday, July 31st, 2025. This summer school will take place in person in both Providence, RI and Washington, DC. The goals of this summer school are to: (1) Enable graduate students to conduct high-quality policy-informed AI research, (2) Empower students to advocate for new AI policies or changes to existing policy, and (3) Build a pipeline of qualified technologists to fill emerging needs in government.
  • TPC25, The Trillion Parameter Consortium
    • Monday, July 28, 2025 – Thursday, July 31, 2025
    • San Jose, California
    • TPC25 will convene AI leaders globally from industry, academia, and national laboratories to explore collaboration across these sectors and internationally, with the goal of accelerating advances in AI to responsibly and safely address today’s scientific and engineering grand challenges. The theme for TPC25 is to explore and pursue collaborations between industry and public sector AI research — national laboratories, universities, and institutes — including those building and utilizing AI capabilities, infrastructure, and applications.
  • Machine Learning for Fundamental Physics (ML4FP) School 2025, Lawrence Berkeley National Laboratory
    • Monday, August 4, 2025 – Friday, August 8, 2025
    • Lawrence Berkeley National Laboratory
    • We invite particle physicists from different sub-field to join us and spend a week at LBNL for ML4FP, where a wide range of machine learning methods for particle physics development will be covered. The learning materials (hands-on examples) are deeply connected with real experimental applications. Meanwhile, we also encourage our theorist friends to join ML4FP as the machine learning tools and methods are general. Through this platform, we appreciate discussions for current and future use of machine learning mathods in various aspects of particle physics. We put particular emphasis on the hands-on tutorials with realistic examples to help participants to dive in the machine learning world for their research needs. The school is open to all enthusiasts working in particle physics who wish to advance their knowledge in machine learning. Thanks to the ATC program by US ATLAS, there will be financial assistance to support most US ATLAS students in double-occpancy hotel rooms near LBNL (we cannot cover airfare).
  • Princeton Machine Learning Theory Summer School, Boris Hanin (Assistant Professor, Princeton ORFE)
    • Tuesday, August 12, 2025 – Thursday, August 21, 2025
    • Princeton University
    • This summer school is aimed at PhD students interested in machine learning theory. The primary goal is to showcase, through four main courses, a range of exciting recent developments in the subject. The primary focus this year is on theoretical advances in deep learning. An important secondary goal is to connect young researchers and foster community within theoretical machine learning.
  • Open SkAI 2025, SkAI Institute
    • Tuesday, September 2, 2025 – Friday, September 5, 2025
    • SkAI Hub (875 N. Michigan Ave., Chicago, IL 60611)
    • Open SkAI 2025 (September 2-5, 2025) is the inaugural conference for the NSF-Simons AI Institute for the Sky (SkAI), funded by the U.S. National Science Foundation and the Simons Foundation. This year’s event will be held in the John Hancock Center and will bring together scholars and scientists of all career stages interested in innovating at the intersection of AI and Astrophysics!
  • AI4Science Conference, AI4Science
    • Monday, September 22, 2025 – Friday, September 26, 2025
    • Ljubljana, Slovenia
    • The 28th Discovery Science Conference and other co-located events will be held under the common umbrella name AI for Science. The International Conference Discovery Science (DS) has a long tradition, as this edition will be the 28th in a row. It was previously held in Slovenia as an independent organization by the Slovenian Institute of Science (IJS). The meeting is intended for discussions and exchange of ideas among researchers who develop and use methods of artificial intelligence (AI), data science and big data analysis in solving scientific and industrial challenges. Due to the importance of the topic, we will also organize a series of thematic tracks related to AI in various scientific disciplines. Some of them will preform under the sponsorship of SMASH. The deadline for abstract submission is 26. 06. 2025.

Upcoming Workshops

  • AstroAI Workshop - Unveiling the Universe with AI/ML, AstroAI
    • Monday, July 7, 2025 – Friday, July 11, 2025
    • Center for Astrophysics - Harvard & Smithsonian (CfA), 60 Garden St., Cambridge, MA 02138
    • The AstroAI Workshop is designed to foster an environment of learning, collaboration, and innovation. Over the course of five days, participants will engage in a series of lectures and discussions led by experts in the fields of AI/ML and astrophysics, hands on sessions, talks by early career scientists in the field, and networking events. This workshop is an opportunity for early career scientists to deepen their understanding of foundational AI/ML models for astrophysical research, and their potential in unraveling the mysteries of the universe.
  • AI for Astrophysics Workshop co-located at ICML 2025, Carol Cuesta-Lazaro (IAIFI Fellow), Alex Gagliano (IAIFI Fellow), Ashley Villar (IAIFI Senior Investigator), and collaborators
    • Sunday, July 20, 2025, 9:00am– 5:00pm
    • ICML 2025, Vancouver, Canada
    • Submissions are open for the AI for Astrophysics Workshop co-located at ICML 2025. Submissions are due by June 9, 2025.

      Contemporary and upcoming surveys are producing petabytes of multimodal, heterogeneous data — imaging billions of galaxies, mapping large-scale structures through spectroscopy, and discovering diverse transient phenomena in real time. In parallel, simulations are modeling complex physical systems at increasing resolution and fidelity. These settings demand models that are robust, interpretable, sample-efficient, and physically grounded. This workshop aims to connect the ML and astrophysics communities to drive methodological innovations toward real-world scientific impact.
  • BOOST 2025 – 17th International Workshop on Boosted Object Phenomenology, Reconstruction, Measurements, and Searches at Colliders, BOOST 2025 Local Organizing Committee
    • Monday, July 28, 2025 – Friday, August 1, 2025
    • Brown University, Providence, Rhode Island
    • BOOST 2025 is the 17th conference of a series of successful joint theory/experiment workshops that bring together the world’s leading experts in theoretical and experimental collider physics to discuss the latest progress and develop new approaches on the reconstruction of and use of jet substructure to study Quantum Chromodynamics (QCD) and search for physics beyond the Standard Model.
  • Build Big or Build Smart: Examining Scale and Domain Knowledge in Machine Learning for Fundamental Physics, MIAPbP (Munich Institute for Astro-, Particle- and Biophysics)
    • Monday, August 25, 2025 – Friday, September 19, 2025
    • Munich, Germany
    • MIAPbP will be hosting a workshop on the topic of ‘Build Big or Build Smart: Examining Scale and Domain Knowledge in Machine Learning for Fundamental Physics’ from August 25 - September 19 at the Munich Institute for Astro-, Particle- and Biophysics (MIAPbP) in Munich, Germany. Applications for the workshop are open until January 19th 2025. If you are interested in large-scale foundation models for science, physics-inspired methods in artificial intelligence, this workshop may be a great fit for you. The MIAPbP team hopes to discuss over the course of four weeks, what the interplay is between these ideas for scientific applications.
  • Northeast Quantum Forum 2025: AI in Quantum, NEQT Organizing Committee, including Liang Fu (IAIFI Affiliate)
    • Tuesday, October 14, 2025 – Friday, October 17, 2025
    • The University of New Hampshire
    • Northeast or Greater New England area has a strong presence of quantum materials and quantum technology research. Unfortunately, for many years, there is no recurring regional workshops to bring scientists on these fields together. The Northeast Quantum Forum (NEQT) aims to fill this gap and create a collaborative platform for leading experts and motivative students in and out of New England area to exchange of ideas, advancements, and insights in the ever-evolving field of quantum science and quantum materials. We expect that this new platform becomes a hub for exciting physics and fruitful collaborations. The 2025 workshop, taking place on October 14th to 17th, 2025 at the University of New Hampshire, will feature applications of artificial intelligence methods in quantum science broadly defined.

Past Workshops

  • AstroAI Workshop, AstroAI
    • Monday, June 30, 2025, 12:00pm– 1:00pm
    • P-108A (Wolbach space), Center for Astrophysics, 60 Garden Street ; Zoom link
    • This Monday, June 30th at noon AstroAI will have a workshop focusing on generative methods, led by IAIFI Fellow Carol Cuesta-Lazaro, at the P-108A video wall (former Wolbach library space) and on zoom. Here is the information about the session:
      Title: From Zero to Generative: Learning generative models from scratch
      Abstract: This workshop introduces generative modeling starting with basic concepts, we guide participants through the intuition and implementation of key generative frameworks, such as diffusion models. Participants will gain hands-on experience building simple versions of these models and understanding when to apply different architectures.
      Tutorials: https://github.com/florpi/from-zero-to-generative-jax-tutorial
      There is no installation instructions, everything works directly from Google collar.
      Slides: https://slides.com/carolcuesta/from-zero-to-generative-mitcfa-2025
  • Accelerating statistical inference and experimental design with machine learning, The Isaac Newton Institute for Mathematical Sciences
    • Monday, June 23, 2025 – Friday, June 27, 2025
    • Isaac Newton Institute in Cambridge, UK
    • This workshop focuses on leveraging modern machine learning to accelerate statistical inference, experimental design, and scientific discovery. It features research talks, tutorials, and a poster session, with ample time reserved for informal discussions. The tutorials cover important background, e.g. on experimental design and diffusion models.

      The overall aim is that, by the end of the workshop, attendees will be well-acquainted with both the foundations and the latest trends and advances in the field.
  • Frontiers in NeuroAI - Kempner Institute Symposium, The Kempner Institute
    • Thursday, June 5, 2025 – Friday, June 6, 2025
    • Allston, MA (with option for virtual attendance)
    • Frontiers in NeuroAI is a two-day symposium, open to the public, exploring key topics in the rapidly-advancing field of NeuroAI, including: How natural and artificial systems learn, and how these processes are similar or different across systems; The implications of rapid progress in machine learning on understanding neural processes, the nature of intelligence, and human cognitive abilities; and Innovations that are pushing forward the reasoning and generative capabilities of AI systems. The symposium will feature presentations from cutting-edge experts from neuroscience and AI as they discuss advances in learning across both fields.
  • Data Parallelism Workshop: How to Train Deep Learning Models on Multiple GPUs, The Kempner Institute
    • Wednesday, June 4, 2025, 9:00am– 5:00pm
    • Harvard Science and Engineering Complex (SEC)
    • This workshop teaches you techniques for data-parallel deep learning training on multiple GPUs to shorten the training time required for data-intensive applications. Working with deep learning tools, frameworks, and workflows to perform neural network training, you’ll learn how to decrease model training time by distributing data to multiple GPUs, while retaining the accuracy of training on a single GPU.
  • Physics for AI Workshop, Andrei Constantin, Ard Louis, Andre Lukas, and Shivaji Sondhi
    • Wednesday, March 19, 2025 – Friday, March 21, 2025
    • University of Oxford
    • This three-day workshop will be held in Oxford from 19 to 21 March, focusing on the interplay between Machine Learning (ML) and Quantum Field Theory (QFT).
  • Workshop on Basic Computing Services in the Physics Department, Basic Computing Services for the Physics Department (subMIT)
    • Thursday, January 30, 2025, 9:00am– 5:00pm
    • Kolker Room (MIT 26-414) ; Zoom link
    • The Basic Computing Services (subMIT) provides computing resources and support for members of the Physics Department. This workshop will include tutorials, instructional sessions, an overview of the subMIT resources, and user talks showcasing ways in which members of the department have used submit to support their computational workflows. This is a great opportunity for students, faculty, and staff to learn more about how these computing services can enhance their productivity and streamline their work. It is also a good opportunity to provide feedback as to how subMIT can be extended/adapted to better suit the needs of the Department. Open to ALL members of the Physics Department (whether or not current subMIT users).
  • Machine Learning and the Physical Sciences Workshop, NeurIPS 2024
    • Sunday, December 15, 2024, 9:00am– 5:00pm
    • Vancouver Convention Center in Vancouver, BC, Canada
    • IAIFI involvement: Siddharth Mishra-Sharma (Co-Organizer); IAIFI-sponsored
  • GRaM: Geometry-grounded Representation Learning and Generative Modeling Workshop, ICML 2024
    • Sunday, July 21, 2024 – Saturday, July 27, 2024
    • Vienna, Austria
  • AI4EIC 2023 Annual Workshop, AI4EIC
    • Tuesday, November 28, 2023 – Friday, December 1, 2023
    • Catholic University of America, Washington, D.C.
    • IAIFI involvement: Mike Williams (Co-Organizer)
  • ML4Jets2023, ML4Jets
    • Monday, November 6, 2023 – Friday, November 10, 2023
    • DESY
  • MODE Workshop on Differentiable Programming for Experiment Design, MODE (for Machine-learning Optimized Design of Experiments)
    • Monday, July 24, 2023 – Wednesday, July 26, 2023
    • Princeton University
  • The impact of chatGPT and other large language models on physics research and education Workshop, MIT Physics
    • Friday, July 21, 2023, 9:00am– 5:00pm
    • MIT
  • AI+Science Summer School, Institute for Mathematical and Statistical Innovation
    • Monday, July 17, 2023 – Friday, July 21, 2023
    • University of Chicago
  • Machine Learning Theory Summer School, Princeton
    • Monday, June 26, 2023 – Friday, June 30, 2023
    • Princeton University
  • AI Forward Workshop, DARPA
    • Tuesday, June 13, 2023 – Wednesday, August 2, 2023
    • Boston, MA
  • At the interface of Physics, Mathematics and Artificial Intelligence Workshop, Pollica Physics Center
    • Monday, May 29, 2023 – Friday, June 2, 2023
    • Pollica Physics Center”
    • IAIFI involvement: Harold Erbin, Daniel Hackett, Anindita Maiti (Co-Organizers)
  • Responsible AI in the Natural Sciences Mini-Workshop, CMU
    • Monday, May 8, 2023, 9:00am– 5:00pm
    • Carnegie Mellon University
  • AI for Robust Engineering & Science Workshop (AIRES4), Oak Ridge National Laboratory
    • Tuesday, April 18, 2023 – Thursday, April 20, 2023
    • Oak Ridge National Laboratory
  • Machine Learning and the Physical Sciences Workshop, NeurIPS 2022
    • Saturday, December 3, 2022, 9:00am– 5:00pm
    • New Orleans, LA
    • IAIFI involvement: Siddharth Mishra-Sharma (Co-Organizer)
  • ML4Jets 2022, ML4Jets
    • Tuesday, November 1, 2022 – Friday, November 4, 2022
    • Rutgers University
    • IAIFI involvement: Jesse Thaler (International Advisory Committee)
  • Fast Machine Learning for Science Workshop, FastML
    • Monday, October 3, 2022 – Thursday, October 6, 2022
    • Southern Methodist University
    • IAIFI involvement: Phil Harris (Scientific Committee)
  • Machine Learning at GGI, Galileo Galilei Institute
    • Monday, August 22, 2022 – Friday, September 30, 2022
    • Galileo Galilei Institute
    • IAIFI involvement: Jesse Thaler (Co-Organizer)
  • A Deep-Learning Era of Particle Theory, Mainz Institute for Theoretical Physics
    • Monday, June 13, 2022 – Friday, July 8, 2022
    • Mainz Institute for Theoretical Physics, Johannes Gutenberg University
    • IAIFI involvement: Jim Halverson (co-organizer)
  • Interplay of Fundamental Physics and Machine Learning, Aspen Center for Physics
    • Sunday, May 29, 2022 – Monday, June 27, 2022
    • Aspen Center for Physics
    • IAIFI involvement: Jesse Thaler (co-organizer)
  • Theoretical Physics for Deep Learning Workshop, Aspen Center for Physics Summer
    • Saturday, May 28, 2022 – Saturday, June 18, 2022
    • Aspen Center for Physics
    • IAIFI involvement: Dan Roberts (Co-Organizer)
  • Statistics and Data Science Conference, MIT
    • Friday, April 1, 2022, 9:00am– 5:00pm
    • MIT

Other organizations that hold public events relevant to the IAIFI community:

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.