The AI Winter School is a multi-day virtual program offered yearly in January by the CFPU. It is open to interested graduate students, post-doctoral researchers and advanced undergraduates from any institution. The goal of the AI 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.
The past two years’ programs 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. 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.
Details on past Winter Schools, including module topics, can be found below:
2025 AI Winter School
2024 AI Winter School