Physics and Machine Learning
Phil discusses the intersection of physics simulations and machine learning in computational sciences, focusing on approximations and the potential of using machine learning models to replace costly physics parameterizations. Lukas and Phil delve into the balance between fidelity and practicality in modeling complex systems like weather and protein structures.In this clip
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