Description
These parallel breakout discussions will focus on how AI intersects with key scientific research tasks, such as hypothesis generation, modeling, data analysis, lab automation, and training. The aim is to identify common needs, challenges, and opportunities across disciplines. Outcomes from these discussions will help shape the direction and priorities of a future Faculty-wide AI Center for Science.
