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Geoffrey Hinton is a British-Canadian cognitive psychologist and computer scientist known for foundational work in artificial neural networks and deep learning, making him a leading figure in the field of AI.
In 2013, Google acquired Hinton's neural networks startup, DNNresearch, which developed out of his research at U of T. He was the former Vice President and...
The new startup will partner up with Meta to collaborate on the development of green materials. Geoffrey Hinton, a British-Canadian computer...
Geoffrey Hinton was born on December 6, 1947, in London, United Kingdom. He is recognized for his significant contributions to artificial neural networks and machine learning, earning him the title “the Godfather of AI.” Hinton completed his Bachelor of Arts in experimental psychology from the University of Cambridge in 1970 and later a PhD in artificial intelligence from the University of Edinburgh in 1978. His early academic journey involved exploring various fields like natural sciences, history of art, and philosophy, eventually leading to his pivotal work in AI.
His career saw him at the University of California, San Diego, and Carnegie Mellon University before joining the University of Toronto in 1987. During his time at Carnegie Mellon, he collaborated with David Rumelhart and Ronald J. Williams on a highly influential paper in 1986, which popularized the backpropagation algorithm for training multi-layer neural networks. In 1985, he co-invented Boltzmann machines, a significant development for recognizing characteristic elements in data. His research continued to advance the field, leading to milestones like the AlexNet image-recognition network, developed with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge in 2012, which remarkably outperformed existing systems.
In 2013, Google acquired DNNresearch Inc., a company co-founded by Hinton and his students, and he subsequently joined Google Brain. From 2013 to 2023, he divided his time between Google and the University of Toronto, also co-founding and serving as chief scientific advisor for the Vector Institute in Toronto in 2017. Hinton received the Turing Award in 2018 alongside Yoshua Bengio and Yann LeCun for their work on deep learning. More recently, in 2024, he was awarded the Nobel Prize in Physics, shared with John Hopfield, for “foundational discoveries and inventions that enable machine learning with artificial neural networks.” He resigned from Google in May 2023 to openly discuss the potential risks of AI, expressing concerns about its societal impact and the need for safety guidelines.
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