CS 524: AI for Science

Course Description

AI is transforming scientific discovery - from protein structures prediction, to new materials discovery, to plasma control. This graduate¿level seminar surveys the emerging discipline of AI for Science, emphasizing the recurring ML-theoretic themes most salient to scientific regimes: e.g., multi¿scale modeling, multi¿modal architectures, differentiable simulation, and inference¿time reasoning. Weekly meetings pair a classical milestone (e.g., AlphaFold, AlphaGo) with a recent breakthrough (e.g., GNoME, GraphCast, TAE's Optometrist algorithm). Students read, present, and critique papers, replicate key results in lightweight coding labs, and pursue an open¿ended research project targeting new science or tooling.