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1. vectorinstitute.ai › team › geoffrey-hintonGeoffrey Hinton - Vector Institute for Artificial Intelligence

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   Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and to show that this is how the brain learns to see.

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     The Vector Institute also gives thanks to Janet Bannister,...

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     Canada CIFAR Artificial Intelligence Chair. Richard Zemel is...

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     A view on Intellectual Property in the Artificial...

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

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   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.

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4. www.uc.utoronto.ca › geoffrey-hinton| University College U of T

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   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.

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

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   Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is a British-Canadian computer scientist and cognitive psychologist, most noted for his work on artificial neural networks.

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     Geoffrey Hinton | Will digital intelligence replace biological intelligence?

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     "Godfather of AI" Geoffrey Hinton: The 60 Minutes Interview

     Oct 9, 2023

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     Geoffrey Hinton on promise, risks of AI

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

   www.cs.toronto.edu › ~hinton

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   Deep learning for AI. Communications of the ACM, 64 (7), 58-65. [ pdf] 2021 commencement address at IIT Mumbai. Joseph Turian's map of 2500 English words produced by using t-SNE on the word feature vectors learned by Collobert & Weston, ICML 2008.

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

   scholar.google.is › citations

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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.

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

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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

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10. research.google.com › pubs › GeoffreyHintonGeoffrey E. Hinton - Research at Google

    research.google.com › pubs › GeoffreyHinton

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    Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and...