Geoffrey Hinton
University Professor Emeritus, University of Toronto
Geoffrey Hinton helped develop the learning methods and neural-network ideas that underpin modern deep learning. His career spans academic research, the founding of UCL’s Gatsby unit, and a decade at Google. A University Professor Emeritus at Toronto, he shares the 2018 Turing Award and the 2024 Nobel Prize in Physics. He also speaks publicly about advanced AI’s potential risks.
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At a glance
Geoffrey Hinton helped develop the learning methods and neural-network ideas that underpin modern deep learning. His career spans academic research, the founding of UCL’s Gatsby unit, and a decade at Google. A University Professor Emeritus at Toronto, he shares the 2018 Turing Award and the 2024 Nobel Prize in Physics. He also speaks publicly about advanced AI’s potential risks.
- Institution
- University of Toronto
- Research
- Neural networks; deep learning
- Recognition
- 2018 Turing Award; 2024 Nobel Prize in Physics
Sources checked . Selected career background and milestones.
Career, in context.
Selected research, leadership and career milestones, newest first.
Shares Nobel Prize in Physics
Hinton shared the 2024 Nobel Prize in Physics with John Hopfield for foundational discoveries and inventions enabling machine learning with artificial neural networks.
Source: Nobel Prize ↗Ends his Google tenure
Hinton’s Google employment ended in 2023, after roles as distinguished researcher and later vice president and engineering fellow alongside his continuing academic affiliation in Toronto.
Source: Geoffrey Hinton / University of Toronto ↗Receives Turing Award recognition
ACM announced Hinton, Yann LeCun, and Yoshua Bengio as the 2018 Turing Award recipients, recognizing conceptual and engineering advances that made deep networks broadly useful.
Source: Association for Computing Machinery ↗Joins Google research
Hinton joined Google as a part-time distinguished researcher in March 2013, continuing an academic career while contributing to the company’s expanding neural-network research effort.
Source: Geoffrey Hinton / University of Toronto ↗Co-authors AlexNet
With Alex Krizhevsky and Ilya Sutskever, Hinton published the AlexNet image-classification work, demonstrating the effectiveness of a deep convolutional network trained using GPU computation.
Source: NeurIPS proceedings ↗Founds UCL’s Gatsby unit
Hinton became founding director of the Gatsby Computational Neuroscience Unit at University College London, leading the unit until 2001 before returning to Toronto.
Source: Geoffrey Hinton / University of Toronto ↗Joins the University of Toronto
Hinton took up a professorship at the University of Toronto in July 1987, establishing an enduring research base for work on neural networks and learning.
Source: University College London ↗Earns Edinburgh doctorate
Hinton received his PhD in artificial intelligence from the University of Edinburgh, following undergraduate study in experimental psychology and before subsequent research appointments in Britain and America.
Source: University College London ↗Completes Cambridge degree
Hinton earned a bachelor’s degree in experimental psychology at Cambridge, an early grounding in the study of cognition before pursuing artificial intelligence research at Edinburgh.
Source: Geoffrey Hinton / University of Toronto ↗
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