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Apr 10, 2024

Rigor with machine learning from field theory to the Poincaré conjecture

Posted by in categories: mathematics, physics, robotics/AI

Machine learning techniques may appear ill-suited for application in fields that prioritize rigor and deep understanding; however, they have recently found unexpected uses in theoretical physics and pure mathematics. In this Perspective, Gukov, Halverson and Ruehle have discussed rigorous applications of machine learning to theoretical physics and pure mathematics.

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