Describing artificial intelligence as having neural networks and understanding language has implications for how we understand both AI and the human brain.
Articles on Geoffrey Hinton
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How might a super-intelligent machine take control? And what can be done to stop it happening?
How can including them change our understanding of AI?
AI will feature in future Nobel prizes as scientists exploit the power of this technology for research.
The Nobel Prize shows that the field of artificial neural networks – and the deep learning AI revolution the technology unleashed – owe as much to physics as biology and computer science.
John Hopfield and Geoffrey Hinton, the 2024 Physics Nobel laureates, developed computer systems that can memorise and learn from patterns in data.
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Statistics and Professor of EECS, University of Michigan
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Professor of Artificial Intelligence, University of Bath
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Assistant Professor, School of Modern Languages and Cultures, Durham University
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Professor of AI, Research Group Leader, UNSW
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Director – Centre for Neuroscience; Professor - Psychology | Neuroscience, Brock University