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Machine learning and information theory concepts towards an AI Mathematician

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A study titled 'Machine learning and information theory concepts towards an AI Mathematician' by Yoshua Bengio and Nikolay Malkin looks into the challenges AI faces in mathematic reasoning. Leveraging info-theoretical approaches, the essay considers what makes a mathematical statement interesting, aiming to discover conjectures rather than proving them. It suggests the desirable theorems should succinctly summarize all provable statements while being accessible.

  • Submitted on 7 Mar 2024
  • Published by the Bulletin of the AMS
  • PDF, HTML, and other formats accessible
  • Essay explores system 1 and system 2 abilities of AI
  • Main objective is to guide AI in discovering new conjectures