Geoffrey Hinton

Geoffrey Hinton
Born Geoffrey Everest Hinton
(1947-12-06) 6 December 1947[1]
Wimbledon, London
Residence Canada
Fields
Alma mater
Thesis Relaxation and its role in vision (1977)
Doctoral advisor H. Christopher Longuet-Higgins[3][4][5]
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[3]
  • Ruslan Salakhutdinov
  • Ilya Sutskever
Other notable students
Known for
Notable awards
Website
www.cs.toronto.edu/~hinton/

Geoffrey Everest Hinton FRS[6] (born 6 December 1947) is a British-born Canadian[7] cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. As of 2015 he divides his time working for Google and University of Toronto.[8] 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.[9][10][11]

Education

Hinton was educated at King's College, Cambridge graduating in 1970, with a Bachelor of Arts in experimental psychology.[1] 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.[3][12]

Career

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.[13] 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".[14]

Research

An accessible introduction to Geoffrey Hinton's research can be found in his articles in Scientific American in September 1992 and October 1993. He investigates ways of using neural networks for learning, memory, perception and symbol processing and has authored over 200 publications[2][15] in these areas. He was one of the first researchers who demonstrated the use of generalized back-propagation algorithm for training multi-layer neural networks that has been widely used for practical applications. He co-invented Boltzmann machines with Terry Sejnowski. His other contributions to neural network research include distributed representations, time delay neural network, mixtures of experts, Helmholtz machines and Product of Experts. In 2007 Hinton coauthored an unsupervised learning paper titled "Unsupervised learning of image transformations".[16]

Honours and awards

Hinton was elected a Fellow of the Royal Society (FRS) in 1998.[6][17] Hinton was the first winner of the David E. Rumelhart Prize in 2001.[18] His certificate of election for the Royal Society reads:

“ Geoffrey E. Hinton is internationally distinguished for his work on artificial neural nets, especially how they can be designed to learn without the aid of a human teacher. This may well be the start of autonomous intelligent brain-like machines. He has compared effects of brain damage with effects of losses in such a net, and found striking similarities with human impairment, such as for recognition of names and losses of categorization. His work includes studies of mental imagery, and inventing puzzles for testing originality and creative intelligence. It is conceptual, mathematically sophisticated and experimental. He brings these skills together with striking effect to produce important work of great interest.[19] ”

In 2001, Hinton was awarded an Honorary Doctorate from the University of Edinburgh.

Hinton was the 2005 recipient of the IJCAI Award for Research Excellence lifetime-achievement award.

He has also been awarded the 2011 Herzberg Canada Gold Medal for Science and Engineering.[20]

In 2013, Hinton was awarded an Honorary Doctorate from the Université de Sherbrooke.

In 2016, he was elected a foreign member of national academy of engineering "For contributions to the theory and practice of artificial neural networks and their application to speech recognition and computer vision".[21] He also received the 2016 IEEE/RSE Wolfson James Clerk Maxwell Award.[22]

Personal life

Hinton is the great-great-grandson both of logician George Boole whose work eventually became one of the foundations of modern computer science, and of surgeon and author James Hinton.[23] His father is Howard Hinton.[24]

References

  1. 1 2 HINTON, Prof. Geoffrey Everest. Who's Who. 2015 (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. (subscription required)
  2. 1 2 Geoffrey Hinton's publications indexed by Google Scholar
  3. 1 2 3 Geoffrey Hinton at the Mathematics Genealogy Project
  4. ↑ Geoffrey E. Hinton's Academic Genealogy
  5. ↑ Gregory, R. L.; Murrell, J. N. (2006). "Hugh Christopher Longuet-Higgins. 11 April 1923 -- 27 March 2004: Elected FRS 1958". Biographical Memoirs of Fellows of the Royal Society. 52: 149. doi:10.1098/rsbm.2006.0012.
  6. 1 2 3 "Professor Geoffrey Hinton FRS". London: Royal Society. Archived from the original on 2015-11-03.
  7. ↑ https://www.cs.toronto.edu/~hinton/fullcv.pdf
  8. ↑ Daniela Hernandez (7 May 2013). "The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI". Wired. Retrieved 10 May 2013.
  9. ↑ "How a Toronto professor’s research revolutionized artificial intelligence". Toronto Star, Kate Allen, Apr 17 2015
  10. ↑ "The Next Generation of Neural Networks" on YouTube
  11. ↑ AMA Geoffrey Hinton (self.MachineLearning) www.reddit.com Ask Me Anything : Geoffrey Hinton
  12. ↑ Hinton, Geoffrey E. (1977). Relaxation and its role in vision (PhD thesis). University of Edinburgh. OCLC 18656113.
  13. ↑ https://www.coursera.org/course/neuralnets
  14. ↑ "U of T neural networks start-up acquired by Google" (Press release). Toronto, ON. 12 March 2013. Retrieved 13 March 2013.
  15. ↑ Geoffrey Hinton's publications indexed by the Scopus bibliographic database, a service provided by Elsevier. (subscription required)
  16. ↑ Hinton, Geoffrey E. "Geoffrey E. Hinton's Publications in Reverse Chronological Order".
  17. ↑ "Fellows of the Royal Society". The Royal Society. Retrieved 14 March 2013.
  18. ↑ "Current and Previous Recipients". David E. Rumelhart Prize.
  19. ↑ "Certificate of election EC/1998/21: Geoffrey Everest Hinton". London: Royal Society. Archived from the original on 2015-11-05.
  20. ↑ "Artificial intelligence scientist gets M prize". CBC News. 14 February 2011.
  21. ↑ "National Academy of Engineering Elects 80 Members and 22 Foreign Members". NAE. 8 February 2016.
  22. ↑ "2016 IEEE Medals and Recognitions Recipients and Citations" (PDF). IEEE. Retrieved July 7, 2016.
  23. ↑ The Isaac Newton of logic
  24. ↑ Salt, George (1978). "Howard Everest Hinton. 24 August 1912-2 August 1977". Biographical Memoirs of Fellows of the Royal Society. 24 (0): 150–182. doi:10.1098/rsbm.1978.0006. ISSN 0080-4606.


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