Geoffrey Hinton (English Wikipedia)

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

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acm.org

dl.acm.org

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (3 December 2012). "ImageNet classification with deep convolutional neural networks". In F. Pereira; C. J. C. Burges; L. Bottou; K. Q. Weinberger (eds.). NIPS'12: Proceedings of the 25th International Conference on Neural Information Processing Systems. Vol. 1. Curran Associates. pp. 1097–1105. Archived from the original on 20 December 2019. Retrieved 13 March 2018.

acm.org

"Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award - Bengio, Hinton and LeCun Ushered in Major Breakthroughs in Artificial Intelligence". Association for Computing Machinery. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 27 March 2019.

awards.acm.org

"Geoffrey E Hinton". awards.acm.org. Retrieved 26 January 2024.

ai.google

"Geoffrey E. Hinton – Google AI". Google AI. Archived from the original on 9 November 2019. Retrieved 15 June 2018.

arxiv.org

Schmidhuber, Jürgen (1 January 2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
Hinton, Geoffrey (2022). "The Forward-Forward Algorithm: Some Preliminary Investigations". arXiv:2212.13345 [cs.LG].
Svabour, Sara; Frosst, Nicholas; Hinton, Geoffrey E. (2017). "Dynamic Routing Between Capsules". arXiv:1710.09829 [cs.CV].

bbc.com

Kleinman, Zoe; Vallance, Chris (2 May 2023). "AI 'godfather' Geoffrey Hinton warns of dangers as he quits Google". BBC News. Archived from the original on 2 May 2023. Retrieved 2 May 2023.

bbva.com

"The BBVA Foundation bestows its award on the architect of the first machines capable of learning the way people do". BBVA Foundation. 17 January 2017. Archived from the original on 4 December 2020. Retrieved 21 February 2021.

bl.uk

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.
"Artificial intelligence scientist gets M prize". CBC News. 14 February 2011. Archived from the original on 17 February 2011. Retrieved 14 February 2011.

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 28 March 2023.

cmu.edu

cs.cmu.edu

"50 Years at CMU: The Inaugural Raj Reddy Artificial Intelligence Lecture". Carnegie Mellon University. 18 November 2020. Archived from the original on 2 March 2022. Retrieved 2 March 2022.

cmu.edu

Dickson Prize 2021

coursera.org

"Neural Networks for Machine Learning". University of Toronto. Archived from the original on 31 December 2016. Retrieved 30 December 2016.

doi.org

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: 149–166. doi:10.1098/rsbm.2006.0012.
Anon (2015) "Hinton, Prof. Geoffrey Everest". Who's Who (online Oxford University Press ed.). A & C Black. (Subscription or UK public library membership required.) doi:10.1093/ww/9780199540884.013.20261
Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (9 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0. ISSN 1476-4687. S2CID 205001834.
Schmidhuber, Jürgen (1 January 2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
Salt, George (1978). "Howard Everest Hinton. 24 August 1912-2 August 1977". Biographical Memoirs of Fellows of the Royal Society. 24: 150–182. doi:10.1098/rsbm.1978.0006. ISSN 0080-4606. S2CID 73278532.

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.

ed.ac.uk

"Distinguished Edinburgh graduate receives ACM A.M. Turing Award". The University of Edinburgh. 2 April 2019. Archived from the original on 14 July 2019. Retrieved 9 April 2019.

forbes.com

Shead, Sam (27 March 2019). "The 3 'Godfathers' Of AI Have Won The Prestigious $1M Turing Prize". Forbes. Archived from the original on 14 April 2020. Retrieved 5 November 2020.

fpa.es

"Geoffrey Hinton, Yann LeCun, Yoshua Bengio and Demis Hassabis - Laureates - Princess of Asturias Awards". Princess of Asturias Awards. 2022. Archived from the original on 15 June 2022. Retrieved 3 May 2023.

futurism.com

Geib, Claudia (11 February 2017). "We've finally created an AI network that's been decades in the making". Futurism. Archived from the original on 9 November 2017. Retrieved 3 May 2023.

gg.ca

"Governor General Announces 103 New Appointments to the Order of Canada, December 2018". The Governor General of Canada. 27 December 2018. Archived from the original on 19 November 2019. Retrieved 7 June 2020.

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.

harvard.edu

ui.adsabs.harvard.edu

Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (9 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0. ISSN 1476-4687. S2CID 205001834.

ieee.org

"2016 IEEE Medals and Recognitions Recipients and Citations" (PDF). Institute of Electrical and Electronics Engineers. Archived from the original (PDF) on 14 November 2016. Retrieved 7 July 2016.

ijcai.org

"IJCAI-22 Award for Research Excellence". International Joint Conference on Artificial Intelligence. Archived from the original on 20 December 2020. Retrieved 5 August 2021.

lecun.com

yann.lecun.com

"Yann LeCun's Research and Contributions". yann.lecun.com. Archived from the original on 3 March 2018. Retrieved 13 March 2018.

macleans.ca

Lee, Adrian (18 March 2016). "Geoffrey Hinton, the 'godfather' of deep learning, on AlphaGo". Maclean's. Archived from the original on 6 March 2020. Retrieved 28 March 2018.

mathgenealogy.org

Geoffrey Hinton at the Mathematics Genealogy Project

nae.edu

"National Academy of Engineering Elects 80 Members and 22 Foreign Members". National Academy of Engineering. 8 February 2016. Archived from the original on 13 May 2018. Retrieved 13 February 2016.

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.

nih.gov

pubmed.ncbi.nlm.nih.gov

Schmidhuber, Jürgen (1 January 2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.

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 1 May 2023.
Smith, Craig S. (23 June 2017). "The Man Who Helped Turn Toronto into a High-Tech Hotbed". The New York Times. Archived from the original on 27 January 2020. Retrieved 27 June 2017.
Metz, Cade (27 March 2019). "Three Pioneers in Artificial Intelligence Win Turing Award". The New York Times. Archived from the original on 27 March 2019. Retrieved 27 March 2019.

openreview.net

"Matrix capsules with EM routing". OpenReview. Archived from the original on 10 June 2019. Retrieved 8 November 2017.

phdtree.org

"Geoffrey E. Hinton's Academic Genealogy". Archived from the original on 23 March 2017. Retrieved 15 December 2013.

phys.org

Sorensen, Chris (3 November 2017). "'Godfather' of deep learning is reimagining AI". Phys.org. Archived from the original on 13 April 2019. Retrieved 28 March 2018.

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.

qz.com

Gershgorn, Dave (18 June 2018). "The inside story of how AI got good enough to dominate Silicon Valley". Quartz. Archived from the original on 12 December 2019. Retrieved 5 October 2018.

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 9 March 2016.

collections.royalsociety.org

Anon (1998). "Certificate of election EC/1998/21: Geoffrey Everest Hinton". Royal Society. London. Archived from the original on 5 May 2017.

rumelhartprize.org

"Current and Previous Recipients". The David E. Rumelhart Prize. Archived from the original on 2 March 2017.

scholar.google.com

Geoffrey Hinton publications indexed by Google Scholar

scientificamerican.com

"Stories by Geoffrey E. Hinton in Scientific American". Scientific American. Archived from the original on 17 October 2019. Retrieved 17 October 2019.

scopus.com

Geoffrey Hinton publications indexed by the Scopus bibliographic database. (subscription required)

semanticscholar.org

api.semanticscholar.org

Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (9 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0. ISSN 1476-4687. S2CID 205001834.
Schmidhuber, Jürgen (1 January 2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
Salt, George (1978). "Howard Everest Hinton. 24 August 1912-2 August 1977". Biographical Memoirs of Fellows of the Royal Society. 24: 150–182. doi:10.1098/rsbm.1978.0006. ISSN 0080-4606. S2CID 73278532.

sky.com

news.sky.com

Martin, Alexander (18 March 2021). "Geoffrey Hinton: The story of the British 'Godfather of AI' - who's not sat down since 2005". Sky News. Archived from the original on 19 March 2021. Retrieved 7 April 2021.

techcrunch.com

Mannes, John (14 September 2017). "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.

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 1 May 2023.
Somers, James (29 September 2017). "Progress in AI seems like it's accelerating, but here's why it could be plateauing". MIT Technology Review. Archived from the original on 20 May 2018. Retrieved 28 March 2018.

techtimes.com

Ranosa, Ted (29 March 2019). "Godfathers Of AI Win This Year's Turing Award And $1 Million". Tech Times. Archived from the original on 30 March 2019. Retrieved 5 November 2020.

telegraph.co.uk

Shute, Joe (26 August 2017). "The 'Godfather of AI' on making machines clever and whether robots really will learn to kill us all?". The Daily Telegraph. Archived from the original on 27 December 2017. Retrieved 20 December 2017.

theglobeandmail.com

Roberts, Siohan (27 March 2004). "The Isaac Newton of logic". The Globe and Mail. Archived from the original on 3 May 2023. Retrieved 3 May 2023.

thestar.com

Allen, Kate (17 April 2015). "How a Toronto professor's research revolutionized artificial intelligence". Toronto Star. Archived from the original on 17 April 2015. Retrieved 13 March 2018.

toronto.edu

cs.toronto.edu

Hinton, Geoffrey E. (6 January 2020). "Curriculum Vitae" (PDF). University of Toronto: Department of Computer Science. Archived (PDF) from the original on 23 July 2020. Retrieved 30 November 2016.
Hinton, Geoffrey E. "Geoffrey E. Hinton's Publications in Reverse Chronological Order". Archived from the original on 18 April 2020. Retrieved 15 September 2010.
Geoffrey Hinton. "Geoffrey Hinton's postdocs". University of Toronto. Archived from the original on 29 October 2020. Retrieved 11 September 2020.

torontolife.com

Onstad, Katrina (29 January 2018). "Mr. Robot". Toronto Life. Retrieved 24 December 2023.

ukwhoswho.com

Anon (2015) "Hinton, Prof. Geoffrey Everest". Who's Who (online Oxford University Press ed.). A & C Black. (Subscription or UK public library membership required.) doi:10.1093/ww/9780199540884.013.20261

uottawa.ca

techlaw.uottawa.ca

"Call for an International Ban on the Weaponization of Artificial Intelligence". University of Ottawa: Centre for Law, Technology and Society. Archived from the original on 8 April 2023. Retrieved 1 May 2023.

usherbrooke.ca

"Geoffrey Hinton, keystone researcher in artificial intelligence, visits the Université de Sherbrooke". Université de Sherbrooke. 19 February 2014. Archived from the original on 21 February 2021.

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.

utoronto.ca

Sorensen, Chris (2 November 2017). "How U of T's 'godfather' of deep learning is reimagining AI". University of Toronto News. Archived from the original on 6 April 2019. Retrieved 28 March 2018.

media.utoronto.ca

"U of T neural networks start-up acquired by Google" (Press release). Toronto, ON. 12 March 2013. Archived from the original on 8 October 2019. Retrieved 13 March 2013.

vectorinstitute.ai

"Vector Institutes Chief Scientific Advisor Dr.Geoffrey Hinton Receives ACM A.M. Turing Award Alongside Dr.Yoshua Bengio and Dr.Yann Lecun". Vector Institute for Artificial Intelligence. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 27 March 2019.

venturebeat.com

Wiggers, Kyle (17 December 2018). "Geoffrey Hinton and Demis Hassabis: AGI is nowhere close to being a reality". VentureBeat. Archived from the original on 21 July 2022. Retrieved 21 July 2022.

web.archive.org

"Geoffrey E. Hinton's Academic Genealogy". Archived from the original on 23 March 2017. Retrieved 15 December 2013.
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 9 March 2016.
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 1 May 2023.
Hernandez, Daniela (7 May 2013). "The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI". Wired. Archived from the original on 8 February 2014. Retrieved 10 May 2013.
"Geoffrey E. Hinton – Google AI". Google AI. Archived from the original on 9 November 2019. Retrieved 15 June 2018.
Mannes, John (14 September 2017). "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. Archived from the original on 20 May 2018. Retrieved 28 March 2018.
Sorensen, Chris (2 November 2017). "How U of T's 'godfather' of deep learning is reimagining AI". University of Toronto News. Archived from the original on 6 April 2019. Retrieved 28 March 2018.
Sorensen, Chris (3 November 2017). "'Godfather' of deep learning is reimagining AI". Phys.org. Archived from the original on 13 April 2019. Retrieved 28 March 2018.
Lee, Adrian (18 March 2016). "Geoffrey Hinton, the 'godfather' of deep learning, on AlphaGo". Maclean's. Archived from the original on 6 March 2020. Retrieved 28 March 2018.
Gershgorn, Dave (18 June 2018). "The inside story of how AI got good enough to dominate Silicon Valley". Quartz. Archived from the original on 12 December 2019. Retrieved 5 October 2018.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (3 December 2012). "ImageNet classification with deep convolutional neural networks". In F. Pereira; C. J. C. Burges; L. Bottou; K. Q. Weinberger (eds.). NIPS'12: Proceedings of the 25th International Conference on Neural Information Processing Systems. Vol. 1. Curran Associates. pp. 1097–1105. Archived from the original on 20 December 2019. Retrieved 13 March 2018.
Allen, Kate (17 April 2015). "How a Toronto professor's research revolutionized artificial intelligence". Toronto Star. Archived from the original on 17 April 2015. Retrieved 13 March 2018.
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.
Ranosa, Ted (29 March 2019). "Godfathers Of AI Win This Year's Turing Award And $1 Million". Tech Times. Archived from the original on 30 March 2019. Retrieved 5 November 2020.
Shead, Sam (27 March 2019). "The 3 'Godfathers' Of AI Have Won The Prestigious $1M Turing Prize". Forbes. Archived from the original on 14 April 2020. Retrieved 5 November 2020.
Ray, Tiernan (9 March 2021). "Nvidia's GTC will feature deep learning cabal of LeCun, Hinton, and Bengio". ZDNet. Archived from the original on 19 March 2021. Retrieved 7 April 2021.
"50 Years at CMU: The Inaugural Raj Reddy Artificial Intelligence Lecture". Carnegie Mellon University. 18 November 2020. Archived from the original on 2 March 2022. Retrieved 2 March 2022.
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 1 May 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 28 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.
Smith, Craig S. (23 June 2017). "The Man Who Helped Turn Toronto into a High-Tech Hotbed". The New York Times. Archived from the original on 27 January 2020. Retrieved 27 June 2017.
Hinton, Geoffrey E. (6 January 2020). "Curriculum Vitae" (PDF). University of Toronto: Department of Computer Science. Archived (PDF) from the original on 23 July 2020. Retrieved 30 November 2016.
"Neural Networks for Machine Learning". University of Toronto. Archived from the original on 31 December 2016. Retrieved 30 December 2016.
"U of T neural networks start-up acquired by Google" (Press release). Toronto, ON. 12 March 2013. Archived from the original on 8 October 2019. Retrieved 13 March 2013.
Hinton, Geoffrey E. "Geoffrey E. Hinton's Publications in Reverse Chronological Order". Archived from the original on 18 April 2020. Retrieved 15 September 2010.
"Stories by Geoffrey E. Hinton in Scientific American". Scientific American. Archived from the original on 17 October 2019. Retrieved 17 October 2019.
"Matrix capsules with EM routing". OpenReview. Archived from the original on 10 June 2019. Retrieved 8 November 2017.
Geib, Claudia (11 February 2017). "We've finally created an AI network that's been decades in the making". Futurism. Archived from the original on 9 November 2017. Retrieved 3 May 2023.
Geoffrey Hinton. "Geoffrey Hinton's postdocs". University of Toronto. Archived from the original on 29 October 2020. Retrieved 11 September 2020.
"Yann LeCun's Research and Contributions". yann.lecun.com. Archived from the original on 3 March 2018. Retrieved 13 March 2018.
"Current and Previous Recipients". The David E. Rumelhart Prize. Archived from the original on 2 March 2017.
Anon (1998). "Certificate of election EC/1998/21: Geoffrey Everest Hinton". Royal Society. London. Archived from the original on 5 May 2017.
"Distinguished Edinburgh graduate receives ACM A.M. Turing Award". The University of Edinburgh. 2 April 2019. Archived from the original on 14 July 2019. Retrieved 9 April 2019.
"IJCAI-22 Award for Research Excellence". International Joint Conference on Artificial Intelligence. Archived from the original on 20 December 2020. Retrieved 5 August 2021.
"Artificial intelligence scientist gets M prize". CBC News. 14 February 2011. Archived from the original on 17 February 2011. Retrieved 14 February 2011.
"Geoffrey Hinton, keystone researcher in artificial intelligence, visits the Université de Sherbrooke". Université de Sherbrooke. 19 February 2014. Archived from the original on 21 February 2021.
"National Academy of Engineering Elects 80 Members and 22 Foreign Members". National Academy of Engineering. 8 February 2016. Archived from the original on 13 May 2018. Retrieved 13 February 2016.
"2016 IEEE Medals and Recognitions Recipients and Citations" (PDF). Institute of Electrical and Electronics Engineers. Archived from the original (PDF) on 14 November 2016. Retrieved 7 July 2016.
"The BBVA Foundation bestows its award on the architect of the first machines capable of learning the way people do". BBVA Foundation. 17 January 2017. Archived from the original on 4 December 2020. Retrieved 21 February 2021.
"Vector Institutes Chief Scientific Advisor Dr.Geoffrey Hinton Receives ACM A.M. Turing Award Alongside Dr.Yoshua Bengio and Dr.Yann Lecun". Vector Institute for Artificial Intelligence. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 27 March 2019.
Metz, Cade (27 March 2019). "Three Pioneers in Artificial Intelligence Win Turing Award". The New York Times. Archived from the original on 27 March 2019. Retrieved 27 March 2019.
"Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award - Bengio, Hinton and LeCun Ushered in Major Breakthroughs in Artificial Intelligence". Association for Computing Machinery. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 27 March 2019.
"Governor General Announces 103 New Appointments to the Order of Canada, December 2018". The Governor General of Canada. 27 December 2018. Archived from the original on 19 November 2019. Retrieved 7 June 2020.
"Geoffrey Hinton, Yann LeCun, Yoshua Bengio and Demis Hassabis - Laureates - Princess of Asturias Awards". Princess of Asturias Awards. 2022. Archived from the original on 15 June 2022. Retrieved 3 May 2023.
Kleinman, Zoe; Vallance, Chris (2 May 2023). "AI 'godfather' Geoffrey Hinton warns of dangers as he quits Google". BBC News. Archived from the original on 2 May 2023. Retrieved 2 May 2023.
"Full interview: "Godfather of artificial intelligence" talks impact and potential of AI", CBS Mornings, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 31:45
"Full interview: "Godfather of artificial intelligence" talks impact and potential of AI", CBS Mornings, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 32:00
Full interview: "Godfather of artificial intelligence" talks impact and potential of AI, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 36:00
"Call for an International Ban on the Weaponization of Artificial Intelligence". University of Ottawa: Centre for Law, Technology and Society. Archived from the original on 8 April 2023. Retrieved 1 May 2023.
Wiggers, Kyle (17 December 2018). "Geoffrey Hinton and Demis Hassabis: AGI is nowhere close to being a reality". VentureBeat. Archived from the original on 21 July 2022. Retrieved 21 July 2022.
Martin, Alexander (18 March 2021). "Geoffrey Hinton: The story of the British 'Godfather of AI' - who's not sat down since 2005". Sky News. Archived from the original on 19 March 2021. Retrieved 7 April 2021.
Roberts, Siohan (27 March 2004). "The Isaac Newton of logic". The Globe and Mail. Archived from the original on 3 May 2023. Retrieved 3 May 2023.
Shute, Joe (26 August 2017). "The 'Godfather of AI' on making machines clever and whether robots really will learn to kill us all?". The Daily Telegraph. Archived from the original on 27 December 2017. Retrieved 20 December 2017.

wikidata.org

Geoffrey Hinton publications indexed by Google Scholar

wired.com

Hernandez, Daniela (7 May 2013). "The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI". Wired. Archived from the original on 8 February 2014. Retrieved 10 May 2013.

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.
Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (9 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0. ISSN 1476-4687. S2CID 205001834.
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 1 May 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.
Salt, George (1978). "Howard Everest Hinton. 24 August 1912-2 August 1977". Biographical Memoirs of Fellows of the Royal Society. 24: 150–182. doi:10.1098/rsbm.1978.0006. ISSN 0080-4606. S2CID 73278532.

x.com

Hinton, Geoffrey [@geoffreyhinton] (1 May 2023). "In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly" (Tweet). Retrieved 2 May 2023 – via Twitter.

youtube.com

"Full interview: "Godfather of artificial intelligence" talks impact and potential of AI", CBS Mornings, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 31:45
"Full interview: "Godfather of artificial intelligence" talks impact and potential of AI", CBS Mornings, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 32:00
Full interview: "Godfather of artificial intelligence" talks impact and potential of AI, archived from the original on 2 May 2023, retrieved 1 May 2023; video at 36:00

zdnet.com

Ray, Tiernan (9 March 2021). "Nvidia's GTC will feature deep learning cabal of LeCun, Hinton, and Bengio". ZDNet. Archived from the original on 19 March 2021. Retrieved 7 April 2021.