AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning] скачать в хорошем качестве

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

This video discusses the second stage of the machine learning process: (2) collecting and curating training data to inform the model. There are opportunities to incorporate physics into this stage of the process, such as data augmentation to incorporate known symmetries. This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 03:02 Augmenting Data with Physics 04:16 Coordinates Matter! 06:38 Simulated vs Experimental Data 10:42 Big Data vs Diverse Data 12:48 Generalizing Models with Physics 16:31 Data is Expensive 17:42 Data is Biased 18:58 Rare Events 21:24 Small Signals 24:13 Galileo Dropped the Ball 27:10 Hidden Variables 29:22 Preview: Discovering Governing Equations 30:42 The Digital Twin 35:09 Outro