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Nobel Prize in Physics awarded to John Hopfield and Geoffrey Hinton [pdf] (nobelprize.org)

943 points by drpossum · 669 days ago · 794 comments on HN

Article summary

The Nobel Prize in Physics has been awarded to John Hopfield and Geoffrey Hinton, sparking surprise and debate among physicists and experts. The award recognizes their work on artificial neural networks, which has been influential in the development of machine learning and AI. The connection between their work and physics is being questioned by some, with some arguing that it is a stretch to consider their research as part of the field of physics. The Nobel Committee's decision is seen as a recognition of the impact of their work on the broader scientific community.

Main themes

  • Nobel Prize in Physics
  • Artificial Neural Networks
  • Machine Learning
  • Interdisciplinary Research
  • Physics and AI
  • Nobel Committee's Decision

What commenters say

  • The award is seen as a surprise and a stretch, as Hinton's work is not directly related to physics, but rather to computer science and AI.
  • The connection between Hopfield and Hinton's work and physics is tenuous at best, and the award is viewed as an attempt to jump on the AI bandwagon.
  • The use of physics-inspired concepts, such as Boltzmann machines and statistical physics, in the development of artificial neural networks justifies the award's classification as a physics prize.
  • The Nobel Committee's decision is criticized for being opaque and inconsistent, with some arguing that the prize should be awarded for discoveries in the physical world, not for work in tangential fields.
  • The award is seen as a recognition of the impact of Hopfield and Hinton's work on the broader scientific community, and its influence on the development of machine learning and AI.
  • Some argue that the prize should not have been awarded to Hopfield and Hinton, as their work does not advance the field of physics in any significant way.
  • The debate surrounding the award highlights the blurred lines between physics and other disciplines, such as computer science and mathematics, and the challenges of categorizing interdisciplinary research.
  • The award is viewed as a missed opportunity to recognize other deserving researchers in the field of physics, and to acknowledge the contributions of other pioneers in the development of AI and machine learning.