Geoffrey Hinton
University of TorontoDepartment of Computer ScienceEmeritus Professor
Geoffrey Hinton studies how neural networks learn to represent information. His work spans learning algorithms, distributed representations and models that connect computation with the brain. He shared the 2018 ACM A.M. Turing Award with Yoshua Bengio and Yann LeCun, and the 2024 Nobel Prize in Physics with John J. Hopfield.
Research
Neural network learning
Learning useful internal representations from data through backpropagation and deep neural networks.
Probabilistic models
Boltzmann machines and related models for learning the structure of complex data.
Representation & visualization
Distributed representations and methods such as t-SNE for exploring high-dimensional data.
Selected publications
Selected awards
Education
1978
Ph.D. in Artificial Intelligence
1970
B.A. (Hons) in Experimental Psychology
Selected appointments
2014–
Emeritus Professor
2013–2023
Distinguished Researcher; VP & Engineering Fellow
1998–2001
Founding Director
1982–1987
Assistant Professor; Associate Professor
Talks
2024
Boltzmann Machines
CV
Full academic CV, published on the official website. Document dated 6 January 2025.
Contact
University of Toronto