Welcome to the 2025 AI Winter School, hosted by the Center for the Fundamental Physics of the Universe, Brown University/Department of Physics
The Zoom link to access all modules across all days will remain the same. It can be found by visiting the Timetable for each session.
NOTE: Module hands-on material will be on a Google shared drive. Access to this shared drive will be granted to those that have registered through this Indico site with their GMail or Google-backed email account. Due to the high level of interest this year, registrants will be granted this access via a dedicated Google group to which their registered email will be added. Access to the shared drive will not be given directly to any registrant's individual account. If you did not register with a GMail or Google-backed account, please modify or re-register through this site with a GMail or Google-backed account. If you just registered, please allow a little time for your registered email to be propagated to the Google group.
The Shared Google Drive will continue to be made available beyond the end of the School so there is no need to copy all the contents. Just your working notebook.
The time zone for the school will only be the US East Coast time zone.
After the conclusion of the AI School, recordings of each module will be accessible on the Brown Physics YouTube channel. (Last year's modules can be viewed here.)
This 4-day Winter School is open to interested graduate students, post-doctoral researchers and advanced undergraduates from any institution. Each module and following workshop are intended to stand alone; participants may sign up for as many modules as they choose.
All modules will take place virtually. There is no registration fee.
AI Winter School Goals
The goal of this Winter School is to offer examples of the direct applications of machine learning methods to a range of problems inspired by the use of artificial intelligence in physics. We will provide hands-on experiences with machine learning tools to help reduce the barriers to engagement with these essential tools for physics research.
Hosted by the Brown Center for the Fundamental Physics of the Universe, this year's program will consist of six modules comprised of a lecture session delivered by Brown Physics faculty members and industry experts, followed by practice workshop sessions for participants with direction in the use of machine learning tools.
This year's program includes:
Roundtable discussion: "What do we need AI to be capable of to really propel physics forward?"
Featuring: Jim Halverson (Northeastern University), Max Tegmark (MIT), and Kyle Cranmer (University of Wisconsin-Madison); moderated by Richard Gaitskell (Brown University).
- Module: Introductory Module
- Presenter: Shawn Dubey (Brown University)
- Module: Development and Deployment of Graph Neural Networks in Particle Physics
- Presenter: Loukas Gouskos and Lazar Novakovic (Brown University)
- Module: Physics-Inspired Operator Learning for Inverse Scattering with Application to Ground Penetrating Radar
- Presenter: Yanting Ma (Mitsubishi Electric Research Laboratories)
- Module: Unsupervised Learning to Find Interacting and Starburst Galaxies
- Presenter: Ian Dell'Antonio and Philip Laduca (Brown University)
- Module: Overview of Large Language Models (LLMs) and RAG
- Presenter: James Verbus (Senior Staff Software Engineer, Machine Learning, LinkedIn)
- Module: Auto-Encoders for Data Compression in Dark Matter Direct Detection Experiments
- Presenters: Shawn Dubey and Woody Hulse (Brown University)
- Module: Generative AI, Agents, and Industry Applications
- Presenter: Alexis Johnson (Deloitte), Michael Luk (Deloitte, SFL Scientific)
Link to short descriptions of all modules
Register for access to all materials
Registration with a Gmail or Google-backed email account is required for full access to all AI Winter School materials including notebooks. Please note that we will use your registration email address to grant access to all materials. Full access to all materials will be available starting January 12. The AI School will make use of Google Colab for all the workbook examples (https://colab.research.google.com/).
If you do not have a Gmail or Google-backed account, you will need to register one. You can create an account just for this event or perhaps follow the directions at the following link to use an existing email.
Join the AI School Slack for discussion, trouble-shooting, and questions
An invite link provided here to the to Support Slack.
Citation Guide:
If you chose to use any of the material from this workshop in your own examples, or workbooks, please make a reference back to our workshop, url, and organizers:
AI Winter School - The Center for the Fundamental Physics of the Universe / Department of Physics, Brown University
https://indico.physics.brown.edu/e/AIWinterSchool2025
Organizing faculty: Richard Gaitskell, Director; Ian Dell'Antonio, Associate Director
