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arXiv:2209.00083cs.AI

Feynman on Artificial Intelligence and Machine Learning, with Updates

Eric Mjolsness

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Abstract

I present my recollections of Richard Feynman's mid-1980s interest in artificial intelligence and neural networks, set in the technical context of the physics-related approaches to neural networks of that time. I attempt to evaluate his ideas in the light of the substantial advances in the field since then, and vice versa. There are aspects of Feynman's interests that I think have been largely achieved and others that remain excitingly open, notably in computational science, and potentially including the revival of symbolic methods therein.

arXiv comments
17 pages. To appear in Feynman Lectures on Computation, 2nd edition, published by Taylor & Francis Group, edited by Anthony J. G. Hey
Journal reference
DOI
Subjects
cs.AIArtificial Intelligence cs.LGMachine Learning cs.NENeural and Evolutionary Computing

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Oct 2024 to Oct 2024. Found in 2 HN submissions from Sep 2022 to Sep 2025. Open submission discussions.

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  1. Nobel Prize in Physics awarded to John Hopfield and Geoffrey Hinton [pdf] 1 comment

    • Feynman was a well-known proponent of AI and neural networks [1]. He even gave popular lectures on the subject [2]. He also claimed that replicating animal-like visual recognition abilities in machines would be Nobel-worthy; deep learning was certainoy a breakthrough in that.…

      saithoundView on HNParent context

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