[31], Hinton's research investigates ways of using neural networks for machine learning, memory, perception and symbol processing. [24] They are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning". 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. Geoffrey E Hinton, Sara Sabour, Nicholas Frosst 15 Feb 2018 (modified: 07 Mar 2018) ICLR 2018 Conference Blind Submission Readers: Everyone Abstract : A capsule is a group of neurons whose outputs represent different properties of the same entity. 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. [47], He has won the BBVA Foundation Frontiers of Knowledge Award (2016) in the Information and Communication Technologies category "for his pioneering and highly influential work" to endow machines with the ability to learn. AMA Geoffrey Hinton. [12][13], With David Rumelhart and Ronald J. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularized the backpropagation algorithm for training multi-layer neural networks,[14] although they were not the first to propose the approach. [2][32], While Hinton was a professor at Carnegie Mellon University (1982–1987), David E. Rumelhart and Hinton and Ronald J. Williams applied the backpropagation algorithm to multi-layer neural networks. [23], Hinton received the 2018 Turing Award, together with Yoshua Bengio and Yann LeCun, for their work on deep learning. Often referred to as the Nobel Prize of computing, the award recognizes the group’s conceptual and engineering breakthroughs that made deep neural networks a critical component of computing. He has authored or co-authored over 200 peer reviewed publications. Geoffrey Everest Hinton’s work on artificial neural networks is an English-Canadian cognitive psychologist and informatician. Since 2013 he has been working half-time for Google in Mountain View and Toronto. [28], Hinton has petitioned against lethal autonomous weapons. Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto. Geoffrey Hinton: I think the obvious thing for Google is in search where at present you can find a document that contains particular words and it works very well for that but suppose you wanted to say, find me a document that pretends to support climate change but is trying to undermine the idea that there is climate change. [57], Asked by Nick Bostrom why he continues research despite his grave concerns, Hinton stated, "I could give you the usual arguments. [57], "All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License." In 2017, he cofounded and became the Chief Scientific Advisor of the Vector Institute in Toronto. He is a professor at University of Toronto, and recently joined Google as a part-time researcher. In particular, some recent work at Google has shown that you can do … Although this work was important in popularizing backpropagation, it was not the first to suggest the approach. There is no doubt that Geoffrey Hinton is one of the top thought leaders in artificial intelligence. There is no doubt that Geoffrey Hinton is one of the top thought leaders in artificial intelligence. He spent five years as a faculty member at Carnegie Mellon University, Pittsburgh, Pennsylvania, and he is currently a Distinguished Professor at the University of Toronto and a Distinguished Researcher at Google. Credit... Brian Finke for The New York Times Archived from the original on 11 November 2016. [52] who was the father of Charles Howard Hinton. ", https://en.wikipedia.org/w/index.php?title=Geoffrey_Hinton&oldid=990823827, Fellows of the Association for the Advancement of Artificial Intelligence, Foreign associates of the National Academy of Engineering, Pages containing links to subscription-only content, CS1 maint: BOT: original-url status unknown, Short description is different from Wikidata, Articles containing potentially dated statements from 2001, All articles containing potentially dated statements, Articles with unsourced statements from April 2017, Articles with unsourced statements from March 2019, Wikipedia articles with ACM-DL identifiers, Wikipedia articles with BIBSYS identifiers, Wikipedia articles with SUDOC identifiers, Wikipedia articles with Trove identifiers, Wikipedia articles with WORLDCATID identifiers, Creative Commons Attribution-ShareAlike License, This page was last edited on 26 November 2020, at 18:23. Hinton has been the co-author of a highly quoted 1986 paper popularizing back-propagation algorithms for multi-layer trainings on neural networks by David E. Rumelhart and Ronald J. Williams. Leben und Ausbildung. In this Viewpoint, Geoffrey Hinton of Google’s Brain Team discusses the basics of neural networks: their underlying data structures, how they can be trained and combined to process complex health data sets, and future prospects for harnessing their unsupervised learning to clinical challenges. Geoffrey Hinton is a fellow of the Royal Society, the Royal Society of Canada, and the Association for the Advancement of Artificial Intelligence. In 1986, Carnegie Mellon professor and computer scientist Geoffrey Hinton — now a Google researcher and long known as the “Godfather of Deep Learning” — was among several … Hinton's father was Howard Hinton. Geoffrey E. Hinton. Department of Computer Science : email: geoffrey [dot] hinton [at] gmail [dot] com : University of Toronto : voice: send email: 6 King's College Rd. Read full articles, watch videos, browse thousands of titles and more on the "Geoffrey Hinton" topic with Google News. Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google - Cited by 388,402 - machine learning - psychology - artificial intelligence - cognitive science - computer science "The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster." to be achieved for decades (“No sooner than 2070”), and that, in the context of a dichotomy earlier introduced by Bostrom between people who think managing existential risk from artificial intelligence is probably hopeless versus easy enough that it will be solved automatically, Hinton "[is] in the camp that is hopeless.”[57] He has stated, “I think political systems will use it to terrorize people” and has expressed his belief that agencies like the National Security Agency (NSA) are already attempting to abuse similar technology. Geoffrey E. Hinton Google Brain Toronto {sasabour, frosst, geoffhinton}@google.com Abstract A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity such as an object or an object part. Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. Rise of Neural Networks & Backpropagation. Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. Hinton taught a free online course on Neural Networks on the education platform Coursera in 2012. He is a professor at University of Toronto, and recently joined Google … [11] He was the first winner of the Rumelhart Prize in 2001. In 2007 Hinton coauthored an unsupervised learning paper titled Unsupervised learning of image transformations. He spent five years as a faculty member at Carnegie Mellon University, Pittsburgh, Pennsylvania, and he is currently a Distinguished Professor at the University of Toronto and a Distinguished Researcher at Google. In the early 1980s, John Hopfield’s recurrent neural networks made a splash, followed by Terry Sejnowski’s program NetTalk that could pronounce English words. [3][27], After his PhD he worked at the University of Sussex, and (after difficulty finding funding in Britain)[28] the University of California, San Diego, and Carnegie Mellon University. この [引用先] の件数には Scholar 内の次の論文への引用も含まれています。, Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google, Parallel Distributed Processing: Explorations in the Microstructure of …, Learning internal representations by error propagation, N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov, The journal of machine learning research 15 (1), 1929-1958, Journal of Machine Learning Research 9 (Nov), 2579-2605. [54] He lost his first wife to ovarian cancer in 1994. [citation needed], Together with Yann LeCun, and Yoshua Bengio, Hinton won the 2018 Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. When I was visiting Google in the summer of 2012, I introduced them to dropout and rectified linear units which made things work quite a lot better. He brings these skills together with striking effect to produce important work of great interest. [51], 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. Department of Computer Science : email: geoffrey [dot] hinton [at] gmail [dot] com : University of Toronto : voice: send email: 6 King's College Rd. (Johnny Guatto / University of Toronto) In 1986, Geoffrey Hinton co-authored a paper that, three decades later, is central to the explosion of artificial intelligence. "It's going to be a big issue," Geoffrey Hinton, a vice president with Alphabet Inc's Google, said at a Reuters Newsmaker event in Toronto on Monday. In 2017, he cofounded and became the Chief Scientific Advisor of the Vector Institute in Toronto. Geoffrey Hinton is a fellow of the Royal Society, the Royal Society of Canada, and the Association for the Advancement of Artificial Intelligence. fax: scan and send email: Toronto, Ontario : Information for prospective students, postdocs and visitors: I will not be taking any more students, postdocs or visitors. Geoffrey Hinton. [46] He also received the 2016 IEEE/RSE Wolfson James Clerk Maxwell Award. Geoffrey Everest Hinton CC FRS FRSC[11] (born 6 December 1947) is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. [45] In 2013, Hinton was awarded an Honorary Doctorate from the Université de Sherbrooke. ... Geoffrey Hinton… 11 April 1923 -- 27 March 2004: Elected FRS 1958", Biographical Memoirs of Fellows of the Royal Society, Creative Commons Attribution 4.0 International License, "Royal Society Terms, conditions and policies", "The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI", "Geoffrey Hinton was briefly a Google intern in 2012 because of bureaucracy – TechCrunch", "Progress in AI seems like it's accelerating, but here's why it could be plateauing", "How U of T's 'godfather' of deep learning is reimagining AI", "Geoffrey Hinton, the 'godfather' of deep learning, on AlphaGo", "The inside story of how AI got good enough to dominate Silicon Valley", "ImageNet classification with deep convolutional neural networks", "How a Toronto professor's research revolutionized artificial intelligence | Toronto Star", "Canadian researchers who taught AI to learn like humans win $1M award | CBC News", "Godfathers Of AI Win This Year's Turing Award And $1 Million", "The 3 'Godfathers' Of AI Have Won The Prestigious $1M Turing Prize", "The Man Who Helped Turn Toronto into a High-Tech Hotbed", https://www.cs.toronto.edu/~hinton/fullcv.pdf, "U of T neural networks start-up acquired by Google", "Geoffrey E. Hinton's Publications in Reverse Chronological Order", "Stories by Geoffrey E. Hinton in Scientific American", "We’ve Finally Created an AI Network That’s Been Decades in the Making", "Yann LeCun's Research and Contributions", "Certificate of election EC/1998/21: Geoffrey Everest Hinton", "Distinguished Edinburgh graduate receives ACM A.M. Turing Award", "Artificial intelligence scientist gets M prize", "National Academy of Engineering Elects 80 Members and 22 Foreign Members", "2016 IEEE Medals and Recognitions Recipients and Citations", "Vector Institutes Chief Scientific Advisor Dr.Geoffrey Hinton Receives ACM A.M. Turing Award Alongside Dr.Yoshua Bengio and Dr.Yann Lecun", "Three Pioneers in Artificial Intelligence Win Turing Award", "Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award - Bengio, Hinton and LeCun Ushered in Major Breakthroughs in Artificial Intelligence", "Governor General Announces 103 New Appointments to the Order of Canada, December 2018", "Howard Everest Hinton. [14] In an interview of 2018,[33] Hinton said that "David E. Rumelhart came up with the basic idea of backpropagation, so it's his invention." ... Hinton, a professor emeritus at the University of Toronto and a Google … Geoffrey E. Hinton's 337 research works with 238,523 citations and 201,491 reads, including: Neural Additive Models: Interpretable Machine Learning with Neural Nets Following the acquisition, Hinton became a vice president and engineering fellow at Google. Geoffrey Hinton Chief Scientific Advisor. [34] His other contributions to neural network research include distributed representations, time delay neural network, mixtures of experts, Helmholtz machines and Product of Experts. We use the length of the activity vector to represent the probability that the entity exists and There is no doubt that Geoffrey Hinton is one of the top thought leaders in artificial intelligence. Geoffrey Hinton harbors doubts about AI's current workhorse. But the truth is that the prospect of discovery is too sweet. He was one of the researchers who introduced the back-propagation algorithm and the first to use backpropagation for learning word embeddings. [44] He was the 2005 recipient of the IJCAI Award for Research Excellence lifetime-achievement award. Geoffrey Hinton is Head-Canadian Operations, Google Brain at Google, Inc. View Geoffrey Hinton’s professional profile on Relationship Science, the database of decision makers. Since 2013 he divides his time working for Google and the University of Toronto. Geoffrey Hinton received his Ph.D. degree in Artificial Intelligence from the University of Edinburgh in 1978. [25][26], Hinton was educated at King's College, Cambridge, graduating in 1970 with a Bachelor of Arts in experimental psychology. Dean recruited Hinton to join Google part-time in 2013. Geoffrey Hinton received his Ph.D. degree in Artificial Intelligence from the University of Edinburgh in 1978. [30] Hinton joined Google in March 2013 when his company, DNNresearch Inc., was acquired. [16][17][18][19][20] The dramatic image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky[21] and Ilya Sutskever for the ImageNet challenge 2012[22] was a breakthrough in the field of computer vision. Regarding existential risk from artificial intelligence, Hinton typically declines to make predictions more than five years into the future, noting that exponential progress makes the uncertainty too great. Sabour, Sara; Frosst, Nicholas; Hinton, Geoffrey. of Statistics and Dept. University of Toronto faculty member, Google Brain researcher, and recent Turing Award recipient Geoffrey Hinton spoke this afternoon during a fireside chat at Google… Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto.In 2017, he cofounded and became the Chief Scientific Advisor of the Vector Institute in Toronto. By Ran Bi, Dec 2014.. It is conceptual, mathematically sophisticated and experimental. But now, a neuroscientist named Geoffrey Hinton and his small group of deep learning colleagues have caught the attention of the biggest names on the internet -- including Google and Facebook. Since 2013 he has been working half-time for Google in Mountain View and Toronto. [1] He continued his study at the University of Edinburgh where he was awarded a PhD in artificial intelligence in 1978 for research supervised by Christopher Longuet-Higgins. Retrieved 9 March 2016.CS1 maint: BOT: original-url status unknown (link), British-Canadian computer scientist and psychologist, CS1 maint: BOT: original-url status unknown (, Ackley, David H; Hinton Geoffrey E; Sejnowski, Terrence J (1985), "A learning algorithm for Boltzmann machines", Cognitive science, Elsevier, 9 (1): 147–169. Geoffrey Everest Hinton CC FRS FRSC is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. [35] An accessible introduction to Geoffrey Hinton's research can be found in his articles in Scientific American in September 1992 and October 1993. 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 Hinton : index. He is a professor at University of Toronto, and recently joined Google as a part-time researcher. Today, Google dug into the Computer Science at The University of Toronto to acquire DNNresearch , a young startup founded by professor Geoffrey Hinton and two of … of Computer Science, University of Toronto, Professor of Electrical and Computer Engineering, University of British Columbia, Professor of Machine Learning, University of Edinburgh, Professor of Psychology, Carnegie Mellon University, Professor of Biomedical Data Sciences, and of Statistics, Stanford University, Distinguished Professor & Chancellor's Professor of Computer Science, UCLA, Imagenet classification with deep convolutional neural networks, Learning internal representations by error-propagation, Dropout: a simple way to prevent neural networks from overfitting, Learning representations by back-propagating errors, A fast learning algorithm for deep belief nets, Reducing the dimensionality of data with neural networks, Rectified linear units improve restricted boltzmann machines, Learning multiple layers of features from tiny images, Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, Speech recognition with deep recurrent neural networks, Improving neural networks by preventing co-adaptation of feature detectors, Distilling the knowledge in a neural network, Training products of experts by minimizing contrastive divergence, Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude, A learning algorithm for Boltzmann machines. Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google - Cited by 397,700 - … 24 August 1912-2 August 1977", "The 'Godfather of AI' on making machines clever and whether robots really will learn to kill us all? Read full articles, watch videos, browse thousands of titles and more on the "Geoffrey Hinton" topic with Google News. “We were clearly outside the establishment, pushing to prove the conventional wisdom wrong. Hinton has been the co-author of a highly quoted 1986 paper popularizing back-propagation algorithms for multi-layer trainings on neural networks by David E. Rumelhart and Ronald J. Williams. Their experiments showed that such networks can learn useful internal representations of data. October 2017. 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