text: 328,29,1443208642203947015,2530947115,Max Tegmark,"Our new #AI paper shows how physics can improve #MachineLearning by complementing physics-informed learning (#PIL) with physics-augmented learning (#PAL), taking advantage of simplifying data properties that are easier to generate than test. The paper: <LINK> <LINK>",https://arxiv.org/abs/2109.13901,"Integrating physical inductive biases into machine learning can improve model generalizability. We generalize the successful paradigm of physics-informed learning (PIL) into a more general framework that also includes what we term physics-augmented learning (PAL). PIL and PAL complement each other by handling discriminative and generative properties, respectively. In numerical experiments, we show that PAL performs well on examples where PIL is inapplicable or inefficient. ","Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed