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1. www.cs.toronto.edu › ~hintonHome Page of Geoffrey Hinton

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   Geoffrey E. Hinton. Information for prospective students, postdocs and visitors: I will not be taking any more students, postdocs or visitors. Basic papers on deep learning. LeCun, Y., Bengio, Y. and Hinton, G. E. (2015) Deep Learning. Nature, Vol. 521, pp 436-444. [ pdf] Hinton, G. E., Osindero, S. and Teh, Y. (2006)

   • Current PhD and Master's Students

     OLD UNIVERSITY OF TORONTO COURSES ....csc321 Spring...

   • Photographs

     Photograph1 (.jpg).....Photograph2 (.jpg).....Photograph3...

   • Generating Digits

     Hinton, G. E., Osindero, S. and Teh, Y. (2006) A fast...

   • Publications by Year

     Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman...

   • Lectures

     1a - Why do we need machine learning 1b - What are neural...

   • Biographical Sketch

     Geoffrey Hinton designs machine learning algorithms. His aim...

     Backpropagation

     · Mixtures of Experts

     · Products of Experts

     · Boltzmann Machines

     · Distributed Representations

     · Helmholtz Machines

   • Csc321 Winter 2014

     CSC321 Winter 2014 - Calendar Announcements (check these at...

   • Former PhD Students

     Geoffrey Hinton's former PhD students (with year of...

   • Csc2535 Spring 2013

     Instructor: Geoffrey Hinton; email csc2535prof[at...

   • List of Past Tutorials

     Presented by Geoffrey Hinton and Michael Jordan Boston (Dec...

     Matlab for Science Paper

     · Lecture Slides

     · Slides of Public Talks

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3. discover.research.utoronto.ca › 26059-geoffrey-eGeoffrey E Hinton Profile | University of Toronto

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   His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification. Geoffrey Hinton is a fellow of the UK Royal Society and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences.

4. en.wikipedia.org › wiki › Geoffrey_HintonGeoffrey Hinton - Wikipedia

   en.wikipedia.org › wiki › Geoffrey_Hinton

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   From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the risks of artificial intelligence (AI) technology. In 2017, he co-founded and became the chief scientific advisor of the Vector Institute in Toronto.

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     Meet Geoffrey Hinton, U of T's Godfather of Deep Learning

     Sep 11, 2017

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     Geoffrey Hinton | Will digital intelligence replace biological intelligence?

     Feb 2, 2024

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     Geoffrey Hinton, honorary degree recipient, spring convocation 2021

     Jun 11, 2021

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6. scholar.google.is › citations‪Geoffrey Hinton‬ - ‪Google Scholar‬

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   Geoffrey Hinton. Emeritus Prof. Computer Science, University of Toronto. Verified email at cs.toronto.edu - Homepage. machine learning psychology artificial intelligence cognitive science computer science. Articles 1–20.

7. www.utoronto.ca › news › am-turing-award-nobel-prizeA.M. Turing Award, the 'Nobel Prize ... - University of Toronto

   www.utoronto.ca › news › am-turing-award-nobel-prize

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   Mar 27, 2019 · The University of Toronto’s Geoffrey Hinton has been named one of three recipients of the prestigious A.M. Turing Award – dubbed by some “the Nobel Prize of computing” – for his decades-long work advancing the field of artificial intelligence.

8. web.cs.toronto.edu › news-events › newsGeoffrey Hinton elected to U.S. National Academy of Sciences

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   May 5, 2023 · Deep learning pioneer Geoffrey Hinton of the University of Toronto Department of Computer Science has been elected to the U.S. National Academy of Sciences.

9. People also ask

   Who is Geoffrey Hinton?

   • Geoffrey Hinton received his PhD in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie-Mellon he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto where he is now an emeritus professor.

   Geoffrey E Hinton Profile | University of Toronto

   discover.research.utoronto.ca/26059-geoffrey-e-hinton

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   Where did Geoffrey Hinton do his PhD?

   • Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at Sussex University and the University of California San Diego and spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University.

   Geoffrey E. Hinton – Google Research

   research.google/people/GeoffreyHinton/

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   How did Geoffrey Hinton contribute to neural network research?

   • Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning.

   Geoffrey E Hinton Profile | University of Toronto

   discover.research.utoronto.ca/26059-geoffrey-e-hinton

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   Why was Geoffrey Hinton a Google intern in 2012?

   • "Geoffrey Hinton was briefly a Google intern in 2012 because of bureaucracy – TechCrunch". TechCrunch. Archived from the original on 17 March 2020. Retrieved 28 March 2018. ^ Somers, James (29 September 2017). "Progress in AI seems like it's accelerating, but here's why it could be plateauing". MIT Technology Review.

   Geoffrey Hinton - Wikipedia

   en.wikipedia.org/wiki/Geoffrey_Hinton

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