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@AnimaAnandkumar: This is something I have been emphasizing since we started our work on Neural Operators. We very quickly went from simp…

X AI KOLs Following · 3d ago Cached

Anima Anandkumar highlights that neural operators, despite simple benchmarks, have achieved massive speedups (10,000–million times) in hard real-world problems like high-resolution AI weather modeling (FourCastNet) and nuclear fusion turbulence, referencing a new paper showing learned solvers become more cost-effective as PDE tasks get harder.

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