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🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

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Anima Anandkumar, a professor at Caltech, has developed AI models to simulate physical systems such as weather, fusion, and fluid flow—areas that traditionally required massive supercomputers and decades of development.

Her technique, Neural Operators, allows AI to learn from both data and physical laws simultaneously, enabling models to work with much smaller datasets than conventional language models require. She successfully created FourCastNet, which can predict weather as accurately as classical physics-based simulations but runs on standard graphics cards. The key is to build in the structure that the physical world already has—for example, by using the correct mathematical foundation for a problem—instead of trying to train on impossibly large datasets.

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