How Can Machine Learning Help Mathematicians?

Explore the potential of artificial intelligence to assist mathematicians in solving open problems in this 59-minute lecture by Amaury Hayat from Ecole des Ponts - Institut Polytechnique de Paris, presented at the Simons Institute for the Theory of Computing and SLMath Joint Workshop on AI for Mathematics and Theoretical Computer Science. Discover multiple perspectives on how different AI models can be trained to provide valuable insights into mathematical questions across various areas of pure and applied mathematics. The lecture also presents specific examples of AI models designed for automated theorem proving, demonstrating practical applications of machine learning in advancing mathematical research.