Discrepancy Modeling with Physics Informed Machine Learning
19:24
Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]
26:56
Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning
22:59
Le paradoxe du dôme : une faille dans les lois de Newton
24:11
Compliant Mechanisms that LEARN! - Mechanical Neural Network Architected Materials
23:42
Physics-Informed Dynamic Mode Decomposition (PI-DMD)
58:02
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
48:08
Masterclass avec Cédric Villani sur l'Intelligence Artificielle
17:19