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.

翻译：我回忆了理查德·费曼1980年代中期对人造智能和神经网络的兴趣,这些兴趣是当时对神经网络采取物理学相关方法的技术背景所设定的,我试图根据自那时以来在该领域取得的重大进展来评价他的想法,反之亦然。我认为费曼的利益有些方面已经基本实现,另一些方面仍然令人振奋地开放,特别是在计算科学方面,并有可能包括恢复其中的象征性方法。