A workshop by IPAM exploring new mathematical and algorithmic methods to ensure reliable, interpretable, and robust next-generation AI systems.
Workshop I: Numerical Algebraic Geometry at IPAM focuses on computational methods for large polynomial systems in algebraic geometry and electronic structure theory.
AIM Focused Workshops support mathematicians in collaborative, five-day workshops to advance specific problems, understand important new proofs, or explore connections between areas of mathematics.
This IPAM workshop explores how algebraic geometry can provide new theoretical insights and frameworks for understanding machine learning systems.
Artificial Intelligence in Materials Science supports researchers combining AI and physical theories for materials discovery, simulation, inverse design, and autonomous experiments to advance scientific discovery.