{
 "slug": "Geoffrey_Hinton",
 "title": "Geoffrey Hinton",
 "type": "person",
 "short_desc": "British-Canadian computer scientist who popularized backpropagation, co-invented the Boltzmann machine, led the deep learning revival behind AlexNet, won the 2018 Turing Award and the 2024 Nobel Prize in Physics, and left Google in 2023 to warn about AI risk.",
 "categories": [
  "People",
  "Machine learning researchers"
 ],
 "infobox": {
  "Born": "December 6, 1947, Wimbledon, London, England",
  "Nationality": "British-Canadian",
  "Fields": "Machine learning, cognitive science, psychology",
  "Institutions": "Carnegie Mellon University (1982-1987); University of Toronto (1987-1998); University College London (1998-2001); University of Toronto (2001-); Google (2013-2023); Vector Institute (2017-)",
  "Doctoral advisor": "Christopher Longuet-Higgins",
  "Known for": "Backpropagation; Boltzmann machines; deep learning; AlexNet; knowledge distillation",
  "Notable works": "Learning representations by back-propagating errors (1986); Boltzmann machine (1985); AlexNet (2012); knowledge distillation (2015)",
  "Awards": "Nobel Prize in Physics (2024); ACM A.M. Turing Award (2018); Companion of the Order of Canada (2018); Fellow of the Royal Society (1998); Princess of Asturias Award (2022); VinFuture Grand Prize (2024); Queen Elizabeth Prize for Engineering (2025)"
 },
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  ],
  "Notable works": [
   "Backpropagation",
   "Boltzmann_machine",
   "AlexNet",
   "Knowledge_distillation"
  ]
 },
 "aliases": [
  "Geoff Hinton"
 ],
 "family": "",
 "org": "",
 "registry_status": "stub",
 "words": 2831,
 "references": 28,
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 "url": "wiki/Geoffrey_Hinton.html",
 "built": "2026-07-24"
}