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Machine Learning Can Predict Aerodynamic Properties of Solids, Right?
Yal Lecun: We could have deep learning systems that predict the properties of a system from a description of it after being trained with sufficient key many samples. Pascale Fuad, EPFL, he has a starter company that basically trained a convolutional net to predict the aerodynamic properties of solids. And now what you have is a differentiable model of, let's say, dragon and lift as a function of the shape of that solid. Yeah, that's incredible. After all these technologies will have to work in the human world. Sadly.