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From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook

Published 12 Feb 2022 in hep-th, cs.LG, and math.HO | (2202.06086v1)

Abstract: We review the recent programme of using machine-learning to explore the landscape of mathematical problems. With this paradigm as a model for human intuition - complementary to and in contrast with the more formalistic approach of automated theorem proving - we highlight some experiments on how AI helps with conjecture formulation, pattern recognition and computation.

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