Uploaded January 2023 | Updated September 2026, 2 weeks ago
Moore's law of exponential growth in computing is important for machine learning, scientific computing, computer graphics, and even for artificial intelligence. In this video we discuss the basis of Moore's law, and projections for the future.
Moore's law of exponential growth in computing is important for machine learning, scientific computing, computer graphics, and even for artificial intelligence. In this video we discuss the basis of Moore's law, and projections for the future.






![Neural ODEs (NODEs) [Physics Informed Machine Learning]
This video describes Neural ODEs, a powerful machine learning approach to learn ODEs from data.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
02:09 Background: ResNet
05:05 From ResNet to ODE
07:59 ODE Essential Insight/ Why ODE outperforms ResNet
// 09:05 ODE Essential Insight Rephrase 1
// 09:54 ODE Essential Insight Rephrase 2
11:11 ODE Performance vs ResNet Performance
12:52 ODE extension: HNNs
14:03 ODE extension: LNNs
14:45 ODE algorithm overview/ ODEs and Adjoint Calculation
22:24 Outro Neural ODEs (NODEs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/nJphsM4obOk/mqdefault.jpg)



