Geoffrey Hinton (Simple English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Geoffrey Hinton" in Simple English language version.

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8worldcat.org

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ethos.bl.uk

Hinton, Geoffrey Everest (1977). Relaxation and its role in vision. Edinburgh Research Archive (PhD thesis). University of Edinburgh. hdl:1842/8121. OCLC 18656113. EThOS uk.bl.ethos.482889. Archived from the original on 30 March 2023. Retrieved 30 March 2023.

cbc.ca

Chung, Emily (27 March 2019). "Canadian researchers who taught AI to learn like humans win $1M award". Canadian Broadcasting Corporation. Archived from the original on 26 February 2020. Retrieved 27 March 2019.
"Geoffrey Hinton from University of Toronto awarded Nobel Prize in Physics". CBC News. The Associated Press. 8 October 2024. Retrieved 8 October 2024.

cbsnews.com

""Godfather of artificial intelligence" talks impact and potential of new AI". CBS News. 25 March 2023. Archived from the original on 28 March 2023. Retrieved 2023-03-28.
""Godfather of artificial intelligence" talks impact and potential of new AI". CBS News. 25 March 2023. Archived from the original on 28 March 2023. Retrieved 2023-03-28.

cmu.edu

"Former CMU Faculty Geoffrey Hinton Awarded 2024 Nobel Prize in Physics". CMU.edu. Retrieved 8 October 2024.

doi.org

dx.doi.org

Anon (2015) ,. Who's Who (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. {{cite book}}: |website= ignored (help) doi:10.1093/ww/9780199540884.013.20261

ed.ac.uk

era.ed.ac.uk

Hinton, Geoffrey Everest (1977). Relaxation and its role in vision. Edinburgh Research Archive (PhD thesis). University of Edinburgh. hdl:1842/8121. OCLC 18656113. EThOS uk.bl.ethos.482889. Archived from the original on 30 March 2023. Retrieved 30 March 2023.

handle.net

hdl.handle.net

Whye Teh, Yee (2003). Bethe free energy and contrastive divergence approximations for undirected graphical models. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/122253. OCLC 56683361. ProQuest 305242430. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
Sutskever, Ilya (2013). Training Recurrent Neural Networks. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/36012. OCLC 889910425. ProQuest 1501655550. Archived from the original on 26 March 2023. Retrieved 30 March 2023.
Hinton, Geoffrey Everest (1977). Relaxation and its role in vision. Edinburgh Research Archive (PhD thesis). University of Edinburgh. hdl:1842/8121. OCLC 18656113. EThOS uk.bl.ethos.482889. Archived from the original on 30 March 2023. Retrieved 30 March 2023.

medium.com

"Nobel Prize in Physics: Statistical Physics and Machine Learning, Whats the connection?". Medium. Retrieved 8 October 2024.

newyorker.com

Rothman, Joshua (13 November 2023). "Why the Godfather of A.I. Fears What He's Built". The New Yorker. Retrieved 27 November 2023.

nobelprize.org

"The Nobel Prize in Physics 2024". NobelPrize.org. Retrieved 2024-10-08.

nytimes.com

Metz, Cade (1 May 2023). "'The Godfather of A.I.' Leaves Google and Warns of Danger Ahead". The New York Times. ISSN 0362-4331. Archived from the original on 1 May 2023. Retrieved 2023-05-01.

proquest.com

search.proquest.com

Zemel, Richard Stanley (1994). A minimum description length framework for unsupervised learning (PhD thesis). University of Toronto. OCLC 222081343. ProQuest 304161918.
Frey, Brendan John (1998). Bayesian networks for pattern classification, data compression, and channel coding (PhD thesis). University of Toronto. OCLC 46557340. ProQuest 304396112.
Neal, Radford (1995). Bayesian learning for neural networks (PhD thesis). University of Toronto. OCLC 46499792. ProQuest 304260778.
Whye Teh, Yee (2003). Bethe free energy and contrastive divergence approximations for undirected graphical models. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/122253. OCLC 56683361. ProQuest 305242430. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
Salakhutdinov, Ruslan (2009). Learning deep generative models (PhD thesis). University of Toronto. ISBN 978-0-494-61080-0. OCLC 785764071. ProQuest 577365583.
Sutskever, Ilya (2013). Training Recurrent Neural Networks. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/36012. OCLC 889910425. ProQuest 1501655550. Archived from the original on 26 March 2023. Retrieved 30 March 2023.

royalsociety.org

Anon (1998). "Professor Geoffrey Hinton FRS". Royal Society. London. Archived from the original on 3 November 2015. One or more of the preceding sentences incorporates text from the royalsociety.org website where:
"All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License." --"Royal Society Terms, conditions and policies". Archived from the original on 11 November 2016. Retrieved 2016-03-09.

technologyreview.com

Douglas Heaven, Will (1 May 2023). "Deep learning pioneer Geoffrey Hinton quits Google". MIT Technology Review. Archived from the original on 1 May 2023. Retrieved 2023-05-01.

torontolife.com

Onstad, Katrina (2018-01-29). "Mr. Robot". Toronto Life. Retrieved 2023-12-24.

ukwhoswho.com

Anon (2015) ,. Who's Who (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. {{cite book}}: |website= ignored (help) doi:10.1093/ww/9780199540884.013.20261

utoronto.ca

tspace.library.utoronto.ca

Whye Teh, Yee (2003). Bethe free energy and contrastive divergence approximations for undirected graphical models. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/122253. OCLC 56683361. ProQuest 305242430. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
Sutskever, Ilya (2013). Training Recurrent Neural Networks. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/36012. OCLC 889910425. ProQuest 1501655550. Archived from the original on 26 March 2023. Retrieved 30 March 2023.

web.archive.org

Whye Teh, Yee (2003). Bethe free energy and contrastive divergence approximations for undirected graphical models. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/122253. OCLC 56683361. ProQuest 305242430. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
Sutskever, Ilya (2013). Training Recurrent Neural Networks. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/36012. OCLC 889910425. ProQuest 1501655550. Archived from the original on 26 March 2023. Retrieved 30 March 2023.
Anon (1998). "Professor Geoffrey Hinton FRS". Royal Society. London. Archived from the original on 3 November 2015. One or more of the preceding sentences incorporates text from the royalsociety.org website where:
"All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License." --"Royal Society Terms, conditions and policies". Archived from the original on 11 November 2016. Retrieved 2016-03-09.
""Godfather of artificial intelligence" talks impact and potential of new AI". CBS News. 25 March 2023. Archived from the original on 28 March 2023. Retrieved 2023-03-28.
Douglas Heaven, Will (1 May 2023). "Deep learning pioneer Geoffrey Hinton quits Google". MIT Technology Review. Archived from the original on 1 May 2023. Retrieved 2023-05-01.
Metz, Cade (1 May 2023). "'The Godfather of A.I.' Leaves Google and Warns of Danger Ahead". The New York Times. ISSN 0362-4331. Archived from the original on 1 May 2023. Retrieved 2023-05-01.
Chung, Emily (27 March 2019). "Canadian researchers who taught AI to learn like humans win $1M award". Canadian Broadcasting Corporation. Archived from the original on 26 February 2020. Retrieved 27 March 2019.
Hinton, Geoffrey Everest (1977). Relaxation and its role in vision. Edinburgh Research Archive (PhD thesis). University of Edinburgh. hdl:1842/8121. OCLC 18656113. EThOS uk.bl.ethos.482889. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
""Godfather of artificial intelligence" talks impact and potential of new AI". CBS News. 25 March 2023. Archived from the original on 28 March 2023. Retrieved 2023-03-28.
Erlichman, Jon, '50-50 chance' that AI outsmarts humanity, Geoffrey Hinton says, BNN Bloomberg, June 14, 2024

worldcat.org

search.worldcat.org

Zemel, Richard Stanley (1994). A minimum description length framework for unsupervised learning (PhD thesis). University of Toronto. OCLC 222081343. ProQuest 304161918.
Frey, Brendan John (1998). Bayesian networks for pattern classification, data compression, and channel coding (PhD thesis). University of Toronto. OCLC 46557340. ProQuest 304396112.
Neal, Radford (1995). Bayesian learning for neural networks (PhD thesis). University of Toronto. OCLC 46499792. ProQuest 304260778.
Whye Teh, Yee (2003). Bethe free energy and contrastive divergence approximations for undirected graphical models. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/122253. OCLC 56683361. ProQuest 305242430. Archived from the original on 30 March 2023. Retrieved 30 March 2023.
Salakhutdinov, Ruslan (2009). Learning deep generative models (PhD thesis). University of Toronto. ISBN 978-0-494-61080-0. OCLC 785764071. ProQuest 577365583.
Sutskever, Ilya (2013). Training Recurrent Neural Networks. utoronto.ca (PhD thesis). University of Toronto. hdl:1807/36012. OCLC 889910425. ProQuest 1501655550. Archived from the original on 26 March 2023. Retrieved 30 March 2023.
Metz, Cade (1 May 2023). "'The Godfather of A.I.' Leaves Google and Warns of Danger Ahead". The New York Times. ISSN 0362-4331. Archived from the original on 1 May 2023. Retrieved 2023-05-01.
Hinton, Geoffrey Everest (1977). Relaxation and its role in vision. Edinburgh Research Archive (PhD thesis). University of Edinburgh. hdl:1842/8121. OCLC 18656113. EThOS uk.bl.ethos.482889. Archived from the original on 30 March 2023. Retrieved 30 March 2023.