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Bio
Geoffrey Hinton (born 1947, London) is a British-Canadian computer scientist widely regarded as the godfather of artificial intelligence for his foundational contributions to deep learning and neural networks. A former engineering professor at the University of Toronto and VP/Engineering Fellow at Google, Hinton resigned from Google in 2023, citing concerns about the risks of AI. He was awarded the 2024 Nobel Prize in Physics (jointly with John Hopfield) for the discovery and development of machine learning using artificial neural networks. His work on backpropagation underpins virtually all of modern deep learning.
Notable Works
Research:
- Backpropagation — co-developed the algorithm enabling neural networks to learn from data (1986 paper with Rumelhart and Williams)
- Boltzmann Machines — early probabilistic neural network models
- Deep Belief Networks (2006) — demonstrated deep networks were trainable; sparked the modern deep learning era
- AlexNet (2012, with Krizhevsky and Sutskever) — won ImageNet by a large margin; proved deep learning at scale
Awards:
- 2024 Nobel Prize in Physics (with John Hopfield)
- 2018 Turing Award (with LeCun and Bengio)
Institutional:
- Professor Emeritus, University of Toronto
- Former VP/Engineering Fellow, Google Brain (resigned 2023)
- Vector Institute, Toronto
Related
- Topics: Comprehensible Input . Claude Code & AI Tools
- Areas: AI . Science