Geoffrey Hinton

Geoffrey Hinton
Born	Geoffrey Everest Hinton (1947-12-06) 6 December 1947 (age 69) Wimbledon, London
Residence	Canada
Fields	Machine learning Neural networks Artificial intelligence Cognitive science Object recognition
Institutions	University of Cambridge University of Edinburgh Carnegie Mellon University University of Toronto Google
Alma mater	University of Cambridge (BA) University of Edinburgh (PhD)
Thesis	Relaxation and its role in vision (1977)
Doctoral advisor	H. Christopher Longuet-Higgins
Doctoral students	David Ackley Peter Brown Richard Szeliski Mark Derthick Kevin Lang Steven Nowlan David Plaut Sidney Fels Sue Becker Richard Zemel Carl Edward Rasmussen Chris Williams Brendan Frey Radford M. Neal Radek Grzeszczuk Brian Sallans Sageev Oore Alberto Paccanaro Yee Whye Teh Ruslan Salakhutdinov Ilya Sutskever George Dahl Navdeep Jaitly
Other notable students	Yann LeCun (postdoc) Zoubin Ghahramani (postdoc) Radford M. Neal
Known for	Backpropagation Boltzmann machine Deep learning
Notable awards	FRS (1998) AAAI Fellow (1990) Rumelhart Prize (2001) IJCAI Award for Research Excellence (2005) BBVA Foundation Frontiers of Knowledge Award (2016)
Website www.cs.toronto.edu/~hinton/

Geoffrey Everest Hinton FRS (born 6 December 1947) is a British-born Canadiancognitive psychologist and computer scientist, most noted for his work on artificial neural networks. As of 2015^[update] he divides his time working for Google and University of Toronto. He was one of the first researchers who demonstrated the use of generalized backpropagation algorithm for training multi-layer neural nets and is an important figure in the deep learning community.

Hinton was educated at King's College, Cambridge graduating in 1970, with a Bachelor of Arts in experimental psychology. He continued his study at the University of Edinburgh where he was awarded a PhD in artificial intelligence in 1977 for research supervised by H. Christopher Longuet-Higgins.

He has worked at Sussex, University of California San Diego, Cambridge, Carnegie Mellon University and University College London. He was the founding director of the Gatsby Computational Neuroscience Unit at University College London, and is currently a professor in the computer science department at the University of Toronto. He holds a Canada Research Chair in Machine Learning. He is the director of the program on "Neural Computation and Adaptive Perception" which is funded by the Canadian Institute for Advanced Research. Hinton taught a free online course on Neural Networks on the education platform Coursera in 2012. Hinton joined Google in March 2013 when his company, DNNresearch Inc, was acquired. He is planning to "divide his time between his university research and his work at Google".

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