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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.
* 10 pages, 2 figures. Based on various talks in 2021-22, this is an
invited contribution to the Proceedings of "The 14th International Workshop
on Lie theory and its applications in physics", to be published by
Springer-Nature