Thank you very much. It was an excellent talk.
Slides available at https://drive.google.com/file/d/1_SW1iYgUk_FyaNFgJR-FC5qhFD2RaC8I/view?usp=sharing … Robust learning for control, super-resolution for solving PDEs, causal learning from videos are covered. @Caltech @NVIDIAAI #AI #Roboticshttps://twitter.com/ISC/status/1297881441498542080 …
Webinar: #MachineLearning in Mechanics: USNC/TAM
#AI Algorithms for Mechanics @AnimaAnandkumar
Machine learning for Partial Differential Equations
Bio-inspired Materials by Design @ProfBuehlerMIT
Register to attend: https://www.nationalacademies.org/event/08-27-2020/machine-learning-in-mechanics-the-us-national-committee-on-theoretical-and-applied-mechanics-usnc-tam … pic.twitter.com/MKiELrQaUp
Machine learning for Partial Differential Equations
Bio-inspired Materials by Design -
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Thanks, Prof.
@AnimaAnandkumar, for the great talk. You once mentioned - "Learning from the First Principle" ... Generally, in Materials Science, we say 'First-Principle' for DFT (Density Functional Theory) calculation Wondering what do u mean 'First Principle' here? -
The work I was mentioning: https://arxiv.org/pdf/2007.08026.pdf …
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Thank you for such an amazing talk!
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Intresting
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