1. Geoffrey Everest Hinton was born on 6 December 1947 and is a British-Canadian computer scientist, cognitive scientist, cognitive psychologist, and Nobel laureate in physics, known for his work on artificial neural networks, which earned him the title "the Godfather of AI".
Geoffrey Hinton is viewed as a leading figure in the deep learning community.
Geoffrey Hinton received the 2018 Turing Award, often referred to as the "Nobel Prize of Computing", together with Yoshua Bengio and Yann LeCun for their work on deep learning.
Geoffrey Hinton was awarded, along with John Hopfield, the 2024 Nobel Prize in Physics for.
Geoffrey Hinton noted that establishing safety guidelines will require cooperation among those competing in use of AI in order to avoid the worst outcomes.
Geoffrey Hinton was educated at Clifton College in Bristol and the University of Cambridge as an undergraduate student of King's College, Cambridge.
Geoffrey Hinton 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.
Geoffrey Hinton was the founding director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London.
Geoffrey Hinton is currently University Professor Emeritus in the computer science department at the University of Toronto, where he has been affiliated since 1987.
Geoffrey Hinton taught a free online course on Neural Networks on the education platform Coursera in 2012.
Geoffrey Hinton co-founded DNNresearch Inc in 2012 with his two graduate students Alex Krizhevsky and Ilya Sutskever at the University of Toronto's department of computer science.
Geoffrey Hinton has written or co-written more than 200 peer-reviewed publications.
In 1985, Geoffrey Hinton co-invented Boltzmann machines with David Ackley and Terry Sejnowski.
In 2007, Geoffrey Hinton coauthored an unsupervised learning paper titled Unsupervised learning of image transformations.
In October and November 2017, Geoffrey Hinton published two open access research papers on the theme of capsule neural networks, which, according to Geoffrey Hinton, are "finally something that works well".
At the 2022 Conference on Neural Information Processing Systems, Geoffrey Hinton introduced a new learning algorithm for neural networks that he calls the "Forward-Forward" algorithm.
In May 2023, Geoffrey Hinton publicly announced his resignation from Google.
Geoffrey Hinton was elected a Fellow of the Royal Society in 1998.
Geoffrey Hinton was the first winner of the Rumelhart Prize in 2001.
Geoffrey E Hinton is internationally known for his work on artificial neural nets, especially how they can be designed to learn without the aid of a human teacher.
Geoffrey Hinton 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 categorisation.
Geoffrey Hinton's work includes studies of mental imagery, and inventing puzzles for testing originality and creative intelligence.
Geoffrey Hinton brings these skills together with striking effect to produce important work of great interest.
In 2001, Geoffrey Hinton was awarded an honorary doctorate from the University of Edinburgh.
Geoffrey Hinton was the 2005 recipient of the IJCAI Award for Research Excellence lifetime-achievement award.
Geoffrey Hinton was awarded the 2011 Herzberg Canada Gold Medal for Science and Engineering.
In 2013, Geoffrey Hinton was awarded an honorary doctorate from the Universite de Sherbrooke.
Geoffrey Hinton won the BBVA Foundation Frontiers of Knowledge Award in the Information and Communication Technologies category, "for his pioneering and highly influential work" to endow machines with the ability to learn.
Together with Yann LeCun, and Yoshua Bengio, Geoffrey Hinton won the 2018 Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
In 2023, Geoffrey Hinton expressed concerns about the rapid progress of AI.
In early May 2023, Geoffrey Hinton said in an interview with BBC that AI might soon surpass the information capacity of the human brain.
Geoffrey Hinton described some of the risks posed by these chatbots as "quite scary".
Geoffrey Hinton explained that chatbots have the ability to learn independently and share knowledge, so that whenever one copy acquires new information, it is automatically disseminated to the entire group, allowing AI chatbots to have the capability to accumulate knowledge far beyond the capacity of any individual.
Geoffrey Hinton has expressed concerns about the possibility of an AI takeover, stating that "it's not inconceivable" that AI could "wipe out humanity".
Geoffrey Hinton said in 2023 that AI systems capable of intelligent agency would be useful for military or economic purposes.
In particular, Geoffrey Hinton says "we have to think hard about how to control" AI systems capable of self-improvement.
In 2023 Geoffrey Hinton became "worried that AI technologies will in time upend the job market" and take away more than just "drudge work".
Geoffrey Hinton said in 2024 that the British government would have to establish a universal basic income to deal with the impact of AI on inequality.
Geoffrey Hinton moved from the US to Canada in part due to disillusionment with Ronald Reagan-era politics and disapproval of military funding of artificial intelligence.
Geoffrey Hinton is the great-great-grandson of the mathematician and educator Mary Everest Boole and her husband, the logician George Boole.
Geoffrey Hinton is the nephew of the economist Colin Clark.