Geoffrey Hinton

British computer scientist

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2024 Hinton received the VinFuture Prize grand award, along with several prominent peers, for groundbreaking contributions to neural networks and deep learning algorithms.
2024 Hinton was awarded the Nobel Prize in Physics alongside John Hopfield for his significant contributions to the field.
2024 Hinton urged the British government to implement a universal basic income in response to the inequality caused by advancements in AI, warning that wealth generated from AI would disproportionately benefit the rich unless government intervention occurred.
2024 Hinton urged the British government to implement a universal basic income in response to the inequality caused by advancements in AI, warning that wealth generated from AI would disproportionately benefit the rich unless government intervention occurred.
2024 Hinton received the VinFuture Prize grand award, along with several prominent peers, for groundbreaking contributions to neural networks and deep learning algorithms.
2024 Hinton was awarded the Nobel Prize in Physics alongside John Hopfield for his significant contributions to the field.
December 2024 During Christmas, Hinton expressed increased pessimism regarding the future of AI, asserting a '10 to 20 percent chance' that AI could lead to human extinction within the next thirty years.
December 2024 During Christmas, Hinton expressed increased pessimism regarding the future of AI, asserting a '10 to 20 percent chance' that AI could lead to human extinction within the next thirty years.
August 2024 In August 2024, Geoffrey Hinton co-authored a letter with Yoshua Bengio, Stuart Russell, and Lawrence Lessig in support of SB 1047, a California AI safety bill aimed at requiring companies that train models costing more than US$100 million to conduct risk assessments before their deployment.
August 2024 In August 2024, Geoffrey Hinton co-authored a letter with Yoshua Bengio, Stuart Russell, and Lawrence Lessig in support of SB 1047, a California AI safety bill aimed at requiring companies that train models costing more than US$100 million to conduct risk assessments before their deployment.
2023 He warned that generally intelligent AI systems might create unaligned sub-goals that could be detrimental to human interests.
2023 Geoffrey Hinton expressed concerns about the potential for an AI takeover, stating that it is 'not inconceivable' that AI could 'wipe out humanity'.
2023 Hinton was named an ACM Fellow, recognizing his contributions to the field of computer science.
2023 Geoffrey Hinton voiced concerns that AI technologies could disrupt the job market significantly, indicating a shift from only eliminating 'drudge work' to potentially affecting a wider range of employment.
2023 Hinton indicated that AI systems with intelligent agency could be useful for military or economic purposes.
2023 Geoffrey Hinton voiced concerns that AI technologies could disrupt the job market significantly, indicating a shift from only eliminating 'drudge work' to potentially affecting a wider range of employment.
2023 He warned that generally intelligent AI systems might create unaligned sub-goals that could be detrimental to human interests.
2023 Geoffrey Hinton expressed concerns about the potential for an AI takeover, stating that it is 'not inconceivable' that AI could 'wipe out humanity'.
2023 Hinton indicated that AI systems with intelligent agency could be useful for military or economic purposes.
2023 Hinton was named an ACM Fellow, recognizing his contributions to the field of computer science.
May 2023 In early May 2023, Hinton spoke in an interview with BBC, declaring that AI might soon surpass the information capacity of the human brain and highlighting the risks posed by chatbots, describing their capability to learn independently and share knowledge as 'quite scary.'
May 2023 In early May 2023, Hinton spoke in an interview with BBC, declaring that AI might soon surpass the information capacity of the human brain and highlighting the risks posed by chatbots, describing their capability to learn independently and share knowledge as 'quite scary.'
May 1 2023 On 1 May 2023, Geoffrey Hinton announced his resignation from Google in an interview with The New York Times, stating he wanted to discuss the dangers of AI without considering the implications for Google, and admitting that 'a part of him now regrets his life's work.'
May 1 2023 On 1 May 2023, Geoffrey Hinton announced his resignation from Google in an interview with The New York Times, stating he wanted to discuss the dangers of AI without considering the implications for Google, and admitting that 'a part of him now regrets his life's work.'
March 2023 In a March 2023 interview with CBS, Geoffrey Hinton expressed concerns about the rapid progress of AI, stating that he previously believed artificial general intelligence (AGI) was '30 to 50 years or even longer away,' but now suggested it might be fewer than 20 years away, with the potential for changes comparable to the industrial revolution.
March 2023 In a March 2023 interview with CBS, Geoffrey Hinton expressed concerns about the rapid progress of AI, stating that he previously believed artificial general intelligence (AGI) was '30 to 50 years or even longer away,' but now suggested it might be fewer than 20 years away, with the potential for changes comparable to the industrial revolution.
2022 At the Conference on Neural Information Processing Systems (NeurIPS), Hinton introduced a new learning algorithm for neural networks called the 'Forward-Forward' algorithm.
2022 At the Conference on Neural Information Processing Systems (NeurIPS), Hinton introduced a new learning algorithm for neural networks called the 'Forward-Forward' algorithm.
2018 Geoffrey Hinton's second wife, Jacqueline 'Jackie' Ford, died of pancreatic cancer.
2018 Hinton received the Turing Award, often referred to as the 'Nobel Prize of Computing', alongside Yoshua Bengio and Yann LeCun for their pioneering work on deep learning.
2018 Geoffrey Hinton expressed optimism about artificial intelligence, stating that it would not lead to a single robot becoming smarter than humans, and emphasized that routine tasks would increasingly be replaced by AI systems.
2018 Geoffrey Hinton's second wife, Jacqueline 'Jackie' Ford, died of pancreatic cancer.
2018 Geoffrey Hinton expressed optimism about artificial intelligence, stating that it would not lead to a single robot becoming smarter than humans, and emphasized that routine tasks would increasingly be replaced by AI systems.
2018 Hinton received the Turing Award, often referred to as the 'Nobel Prize of Computing', alongside Yoshua Bengio and Yann LeCun for their pioneering work on deep learning.
2017 Geoffrey Hinton called for an international ban on lethal autonomous weapons, expressing concerns about the potential for catastrophic misuse of artificial intelligence.
2017 Co-founded the Vector Institute in Toronto and became its chief scientific advisor.
2017 Co-founded the Vector Institute in Toronto and became its chief scientific advisor.
2017 Geoffrey Hinton called for an international ban on lethal autonomous weapons, expressing concerns about the potential for catastrophic misuse of artificial intelligence.
October 2017 Published open access research papers on capsule neural networks, which he claimed were 'finally something that works well'.
October 2017 Published open access research papers on capsule neural networks, which he claimed were 'finally something that works well'.
March 2013 Google acquired DNNresearch Inc., allowing Hinton to split his time between university research and his work at Google.
March 2013 Google acquired DNNresearch Inc., allowing Hinton to split his time between university research and his work at Google.
2012 Hinton taught a free online course on Neural Networks on Coursera and co-founded DNNresearch Inc. with his graduate students Alex Krizhevsky and Ilya Sutskever.
2012 Geoffrey Hinton, along with his students Alex Krizhevsky and Ilya Sutskever, designed AlexNet, which achieved a significant breakthrough in image recognition during the ImageNet challenge.
2012 Hinton taught a free online course on Neural Networks on Coursera and co-founded DNNresearch Inc. with his graduate students Alex Krizhevsky and Ilya Sutskever.
2012 Geoffrey Hinton, along with his students Alex Krizhevsky and Ilya Sutskever, designed AlexNet, which achieved a significant breakthrough in image recognition during the ImageNet challenge.

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