BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI Winter School 2025 - CFPU/Brown University Department of Physic s DTSTART:20250113T180000Z DTEND:20250116T213000Z DTSTAMP:20260412T194800Z UID:indico-event-34@indico.physics.brown.edu CONTACT:ariel_green@brown.edu DESCRIPTION:Speakers: Richard Gaitskell\n\nWelcome to the 2025 AI Winter S chool\, hosted by the Center for the Fundamental Physics of the Universe\, Brown University/Department of Physics Recordings of each module are acc essible here on the Brown Physics YouTube channel. (Last year's modules ca n be viewed here.) This 4-day Winter School is open to interested graduat e students\, post-doctoral researchers and advanced undergraduates from an y institution. Each module and following workshop are intended to stand al one\; participants may sign up for as many modules as they choose. All mo dules will take place virtually. There is no registration fee.AI Winter Sc hool GoalsThe goal of this Winter School is to offer examples of the direc t applications of machine learning methods to a range of problems inspired by the use of artificial intelligence in physics. We will provide hands-o n experiences with machine learning tools to help reduce the barriers to e ngagement with these essential tools for physics research. Hosted by the Brown Center for the Fundamental Physics of the Universe\, this year's pro gram will consist of six modules comprised of a lecture session delivered by Brown Physics faculty members and industry experts\, followed by practi ce workshop sessions for participants with direction in the use of machine learning tools.To learn more about the graduate programs in Physics at Br own\, please visit the Physics Department website. This year's program in cludes:Roundtable discussion: "What do we need AI to be capable of to real ly propel physics forward?"Featuring: Jim Halverson (Northeastern Universi ty)\, Max Tegmark (MIT)\, and Kyle Cranmer (University of Wisconsin-Madiso n)\; moderated by Richard Gaitskell (Brown University).Module: Introductor y ModulePresenter: Shawn Dubey (Brown University) Module: Development and Deployment of Graph Neural Networks in Particle PhysicsPresenter: Loukas Gouskos and Lazar Novakovic (Brown University) Module: Physics-Inspired O perator Learning for Inverse Scattering with Application to Ground Penetra ting RadarPresenter: Yanting Ma (Mitsubishi Electric Research Laboratories ) Module: Unsupervised Learning to Find Interacting and Starburst Galaxie sPresenter: Ian Dell'Antonio and Philip LaDuca (Brown University) Module: Overview of Large Language Models (LLMs) and RAGPresenter: James Verbus ( Senior Staff Software Engineer\, Machine Learning\, LinkedIn) Module:  A uto-Encoders for Data Compression in Dark Matter Direct Detection Experime ntsPresenters: Shawn Dubey and Woody Hulse (Brown University) Module: Gen erative AI\, Agents\, and Industry Applications Presenter: Alexis Johnson (Deloitte SFL Scientific)\, Michael Luk (Deloitte\, SFL Scientific) Link to short descriptions of all modulesRegister for access to all materialsR egistration with a Gmail or Google-backed email account is required for fu ll access to all AI Winter School materials including notebooks. Please no te that we will use your registration email address to grant access to all materials. Full access to all materials will be available starting Januar y 12. The AI School will make use of Google Colab for all the workbook exa mples (https://colab.research.google.com/).If you do not have a Gmail or G oogle-backed account\, you will need to register one.  You can create an account just for this event or perhaps follow the directions at the follow ing link to use an existing email.Using an Existing Email with GoogleNOTE: Module hands-on material will be on a Google shared drive.  Access to th is 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 acces s via a dedicated Google group to which their registered email will be add ed.  Access to the shared drive will not be given directly to any registr ant'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 GM ail or Google-backed account.  If you just registered\, please allow a li ttle time for your registered email to be propagated to the Google group.T he Shared Google Drive will continue to be made available beyond the end o f the School so there is no need to copy all the contents. Just your worki ng notebook.The time zone for the school will only be the US East Coast ti me zone.Join the AI School Slack for discussion\, trouble-shooting\, and q uestionsAn invite link provided here to the to Support Slack. Citation Gu ide: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 Universityhttps:/ /indico.physics.brown.edu/e/AIWinterSchool2025 Organizing faculty: Richar d Gaitskell\, Director\; Ian Dell'Antonio\, Associate Director\n\nhttps:// indico.physics.brown.edu/event/34/ IMAGE;VALUE=URI:https://indico.physics.brown.edu/event/34/logo-2467620443. png URL:https://indico.physics.brown.edu/event/34/ END:VEVENT END:VCALENDAR