Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 03:15 DeepONets: Central Idea // 04:11 The Strawman 05:41 What is the Solution Operator? // 08:44 How are DeepONets Trained? 12:41 DeepONet Example Application/Results 15:28 Outro
![Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/-zrY7P2dVC4/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAugTiFa0E_5ZUTHW_D0ynJV0Nunw)
▶︎
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
![Fourier Neural Operator (FNO) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/W8PybqAk6Ik/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBfwGYCW0d-Zo0jyyDKv5Fm4yF2Rw)
▶︎
Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
![How DeepSeek Rewrote the Transformer [MLA]](https://i.ytimg.com/vi/0VLAoVGf_74/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCSwSaI6q3w2_zizcjVK5wONqMqIQ)
▶︎
How DeepSeek Rewrote the Transformer [MLA]

▶︎
I never intuitively understood Tensors...until now!

▶︎
The Brain’s Learning Algorithm Isn’t Backpropagation
![AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]](https://i.ytimg.com/vi/ARMk955pGbg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAz4ItioSugyw8A5J3Ywn4rdfT9og)
▶︎
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
![Neural ODEs (NODEs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/nJphsM4obOk/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLD-44jNXeOPKolegC63P9KuwaU9VA)
▶︎
Neural ODEs (NODEs) [Physics Informed Machine Learning]

▶︎
The Uncomfortable Truth About AI “Reasoning” | World Science Festival
![Residual Networks (ResNet) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/w1UsKanMatM/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCyrrZnsV1gGwRKEGAb2JDwZjqkLA)
▶︎
Residual Networks (ResNet) [Physics Informed Machine Learning]

▶︎
What Is Yann LeCun Cooking? JEPA Explained Simply

▶︎
Simulation By Data ONLY: Fourier Neural Operator (FNO)

▶︎
Monte Carlo Simulation

▶︎
Anima Anandkumar - Neural operator: A new paradigm for learning PDEs
![Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/HLUIx6FqAvg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBdVhx1CETtaWYsDk-FaEUtNDDUag)
▶︎
Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]

▶︎
Why I Left Quantum Computing Research
![The moment we stopped understanding AI [AlexNet]](https://i.ytimg.com/vi/UZDiGooFs54/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBcF15jILLvh6xWD8W-FxnR_r3Qbg)
▶︎
The moment we stopped understanding AI [AlexNet]

▶︎
Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)

▶︎
The Most Important Algorithm in Machine Learning

▶︎
Every Machine Learning Model Explained in 15 minutes

▶︎
