AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
36:11
AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]
47:27
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
5:16
AI and Its Potential for the Future - Carter Springer
34:32
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
24:37
Neural ODEs (NODEs) [Physics Informed Machine Learning]
35:33
Neural Ordinary Differential Equations
55:55
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)
26:56