Moving boundaries: An appreciation of John Hopfield
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917878926671872 |
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| author | Bialek, William |
| author_facet | Bialek, William |
| contents | The 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton, "for foundational discoveries and inventions that enable machine learning with artificial neural networks." As noted by the Nobel committee, their work moved the boundaries of physics. This is a brief reflection on Hopfield's work, its implications for the emergence of biological physics as a part of physics, the path from his early papers to the modern revolution in artificial intelligence, and prospects for the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18030 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Moving boundaries: An appreciation of John Hopfield Bialek, William History and Philosophy of Physics Disordered Systems and Neural Networks Machine Learning Neurons and Cognition Other Quantitative Biology The 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton, "for foundational discoveries and inventions that enable machine learning with artificial neural networks." As noted by the Nobel committee, their work moved the boundaries of physics. This is a brief reflection on Hopfield's work, its implications for the emergence of biological physics as a part of physics, the path from his early papers to the modern revolution in artificial intelligence, and prospects for the future. |
| title | Moving boundaries: An appreciation of John Hopfield |
| topic | History and Philosophy of Physics Disordered Systems and Neural Networks Machine Learning Neurons and Cognition Other Quantitative Biology |
| url | https://arxiv.org/abs/2412.18030 |