BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI Winter School 2026 - CFPU/Brown Department of Physics DTSTART:20260106T180000Z DTEND:20260109T213000Z DTSTAMP:20260812T115700Z UID:indico-event-192@indico.physics.brown.edu CONTACT:cfpu@brown.edu DESCRIPTION:Speakers: Ian Dell'Antonio (Brown)\n\nWelcome to the 2026 AI W inter School\, hosted by the Center for the Fundamental Physics of the Uni verse\, Brown University/Department of Physics The Winter School has conc luded. All modules are viewable here on Brown Physics Youtube. For access to module materials\, please email cfpu@brown.edu.  This 4-day Winter Sc hool is open to interested graduate students\, post-doctoral researchers a nd advanced undergraduates from any institution. Each module and following workshop are intended to stand alone\; participants may sign up for as ma ny modules as they choose. All modules will take place virtually. There i s no registration fee.Recordings of each module will be available on the B rown Physics YouTube channel.  View 2026 AI Winter School modulesView 20 25 AI Winter School modulesView 2024 AI Winter School modules AI Winter S chool GoalsThe goal of this Winter School is to offer examples of the dire ct applications of machine learning methods to a range of problems inspire d 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 pr ogram will consist of six modules comprised of a lecture session delivered by Brown Physics faculty members and industry experts\, followed by pract ice workshop sessions for participants with direction in the use of machin e learning tools.To learn more about the graduate programs in Physics at B rown\, please visit the Physics Department website. 2026 AI Winter School ProgramRoundtable discussion:Featuring: Brenda Rubenstein\, Brown Univer sity Professor of Chemistry and Physics and Director of the Brown Data Sci ence InstituteMichael Littman\, Brown University Professor of Computer Sci ence and Associate Provost for Artificial IntelligencePhiala Shanahan\, MI T Associate Professor of Physics and IAIFI Interim Deputy DirectorJamie M acbeth\, Smith College Associate Professor of Computer ScienceLink to Shor t Description of All ModulesModule: Introductory ModulePresenter: Shawn Du bey (Brown University) Module: Physics‑Informed Neural Networks: Teachi ng Models the Laws of Nature Presenters: Bryan Ostdiek ((Principal Data S cientist\, Microsoft) and Darsh Kodwani  Module: Applications of Optimal Transport in Collider PhysicsPresenter: Matt LeBlanc (Brown University)  Module: Object Detection for Rare Event SearchesPresenter: Jeff Schueler ( University of New Mexico) Module: Denoising Electron Densities from Stoch astic Simulations of Electronic Structure Using AIPresenter: Brenda Rubens tein (Brown University) Module: Training Simulations to Predict the First Stars and their EffectPresenter: Madhurima Choudhury (Birla Institute of Technology & Science Pilani)\, Jonathan Pober (Brown University) Module: Reinforcement Learning for Orbital TransfersPresenter: James Verbus (Senio r Staff Software Engineer\, Machine Learning\, LinkedIn)Register for acces s to all materialsRegistration with a Gmail or Google-backed email account is required for full access to all AI Winter School materials including n otebooks. Please note that we will use your registration email address to grant access to all materials. Full access to all materials will be availa ble starting January 5. The AI School will make use of Google Colab for al l 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 direct ions at the following link to use an existing email.Using an Existing Emai l with GoogleNOTE: Module hands-on material will be on a Google shared dri ve.  Access to this shared drive will be granted to those that have regis tered through this Indico site with their GMail or Google-backed email acc ount.  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 direc tly to any registrant's individual account.  If you did not register with a GMail or Google-backed account\, please modify or re-register through t his 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 availabl e beyond the end of the School so there is no need to copy all the content s. Just your working notebook.The time zone for the school will only be th e US East Coast time zone.\n\nhttps://indico.physics.brown.edu/event/192/ IMAGE;VALUE=URI:https://indico.physics.brown.edu/event/192/logo-4237161097 .png URL:https://indico.physics.brown.edu/event/192/ END:VEVENT END:VCALENDAR