Geoffrey Hinton
Overview
He researches machine learning.[1]
Contents10 sections
Key facts
1970–1978Education
He earned a Cambridge BA in Experimental Psychology (1970) and an Edinburgh PhD in Artificial Intelligence (1978).[1]
1983–1985Boltzmann Machines
Nobel’s account describes his statistical-physics approach to Boltzmann machines that learn data features.[2]
1986–2012Neural-Network Research
He published backpropagation papers with Rumelhart and Williams in 1986, joined Toronto in 1987, and developed AlexNet with students Alex Krizhevsky and Ilya Sutskever in 2012.[3]
2018Turing Award
His co-recipients were Yoshua Bengio and Yann LeCun.[4]
2024Nobel Prize in Physics
He shared the 2024 Nobel Prize in Physics with John Hopfield for foundational work enabling neural-network machine learning.[2]
March 20, 2025Source-Code Release
CHM and Google released the 2012 AlexNet source code; Hinton helped connect the two organizations.[3]
July 24, 2025Views on Risk
CNBCCNBCCNBC is an American business and financial news cable channel launched by NBC in 1989; it merged with its rival FNN in 1991 and since January 2026 has been part of Versant Media Group, spun off from Comcast.Open the full entry reported that he left Google in 2023 to speak freely about AI risks. He argued that smarter AI could persuade humans and that researchers should seek to make it unwilling to harm them.[5]
Related Organizations, Websites, and Public Accounts
Geoffrey Hinton: Personal links: https://www.cs.toronto.edu/~hinton/ (opens in a new window)[1]
X: Public account: https://x.com/geoffreyhinton (opens in a new window)[6]
Sources
- Geoffrey Hinton (opens in a new window)
- Geoffrey Hinton – Facts – 2024 (opens in a new window)
- CHM Releases AlexNet Source Code (opens in a new window)
- AI Researchers Win Turing Award (opens in a new window)
- If AI attempts to take over world, don't count on a 'kill switch' to save humanity (opens in a new window)
- Geoffrey Hinton / X (opens in a new window)