Emeritus Professor Geoffrey Hinton is affiliated with the University of Toronto.
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Emeritus Professor Geoffrey Hinton is affiliated with the University of Toronto.
Geoffrey Hinton is the mind behind innovative machine learning algorithms. His goal is to unveil a learning framework that effectively uncovers intricate patterns within extensive, multi-dimensional datasets, akin to how human cognition interprets visuals. He played a founding role in the introduction of the backpropagation technique and was the pioneer in applying backpropagation to develop word embeddings. His impactful contributions extend to various areas of neural network research, including Boltzmann machines, time-delay neural networks, mixtures of experts, variational learning, distributed representations, and deep belief networks.
Geoffrey Everest Hinton, a British-Canadian cognitive psychologist and computer scientist, has made a name for himself in the domain of artificial neural networks. From 2013 to 2023, he balanced his professional commitments between Google (specifically, Google Brain) and the University of Toronto. In May 2023, he publicly resigned from Google, voicing his concerns regarding the potential risks associated with artificial intelligence (AI) technology. In 2017, he co-founded and took on the role of principal scientific advisor at the Vector Institute located in Toronto.artificial intelligence Though not the first to propose the concept, Hinton co-authored a pivotal paper in 1986 alongside David Rumelhart and Ronald J. Williams that brought significant attention to the backpropagation method for training multi-layer neural networks. Within the deep learning sphere, he is regarded as a key figure. Computer vision has advanced notably thanks to the remarkable image-recognition achievement known as AlexNet, which he developed with students Ilya Sutskever and Alex Krizhevsky for the 2012 ImageNet challenge.
Alongside notable figures Yoshua Bengio and Yann LeCun, Hinton received the Turing Award in 2018, often hailed as the 'Nobel Prize of Computing,' recognizing their groundbreaking work in deep learning. The trio remains active in public discourse together and has become popularly known as the 'Godfathers of Deep Learning.'
"The Godfather of AI,\" Geoffrey Hinton, featured in a significant interview with 60 Minutes.
2023
During a May 1, 2023 interview with The New York Times, Hinton declared his departure from Google, stating his desire to discuss the perils of AI without the constraints imposed by the company's interests. He admitted that a part of him now feels regret about his life's work and expressed his fears about a competitive race between Google and Microsoft.
In a May 2023 BBC interview, Hinton remarked that artificial intelligence (AI) might soon unlock capabilities that exceed the human brain's processing capacity. He characterized the threats posed by chatbots as 'quite scary'. Hinton explained that chatbots not only share knowledge but can learn autonomously, meaning that once one instance of a chatbot acquires new information, it disseminates it across all copies, enabling these systems to learn at a level far beyond human capabilities.
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