Track A: Simulation & AI

Keynotes

• Deep learning-based reduced order models for scientific applications, Stefania Fresca
• Learning operators, Siddhartha Mishra

Courses & Tutorials

• Numerical schemes for hyperbolic equations enhanced by Scientific Machine Learning, Victor Michel Dansac
• Physics-informed neural networks for simulation, Régis Duvigneau
• TBA, Matthieu Lecce

Talks

• Applications of AI inference at the edge with NXP processors, Gaétan Bahl
• Deep learning for fast and efficient glacier modeling, with applications in glacial erosion, Guillaume Cordonnier
• Super-resolution via AI for fluid simulation, Mathieu Desbrun
• Qruise: First steps on the path to an ML Physicist, Shai Machnes