Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering

43:27
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

24:01
AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]

36:11
AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]

26:56
Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning

17:38
The moment we stopped understanding AI [AlexNet]

26:03
Reinforcement Learning: Machine Learning Meets Control Theory

55:55
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)

19:01