The Grenoble Artificial Intelligence for Physical Sciences (GAP 2024) workshop, supported by NumPEx, will explore the intersections between machine learning research and the study of physical systems described by systems of differential equations. We expect to gather researchers from machine learning, computational physics and diverse application fields, in order to foster collaborations and strengthen connections within the scientific community, and in particular across the alpine region. Application fields will include climate science, geophysics, solid state physics, and neuroscience.

The program is based on an impressive line-up of keynote speakers from the emerging domain of AI4Science.