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Neural Network Control in Collimator 2.0 & New Educational Videos!!!
Steve Brunton
Jun 28, 2024
10,895 views
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
AI can't cross this line and we don't know why.
The Future of Model Based Engineering: Collimator 2.0
Reinforcement Learning: Machine Learning Meets Control Theory
At 70, Ron Howard FINALLY Admits How Much He Truly Hated Him
A Neural Network Primer
Residual Networks (ResNet) [Physics Informed Machine Learning]
Why Does Diffusion Work Better than Auto-Regression?
The Next Generation Of Brain Mimicking AI
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]
Neural ODEs (NODEs) [Physics Informed Machine Learning]
AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]
Why Neural Networks can learn (almost) anything
MIT Introduction to Deep Learning | 6.S191
Why It Was Almost Impossible to Make the Blue LED
What are Transformer Models and how do they work?
Building a Neural Network with PyTorch in 15 Minutes | Coding Challenge
How I’d learn ML in 2024 (if I could start over)