John Hopfield | |
|---|---|
 Hopfield in 2016 | |
| Born | John Joseph Hopfield July 15, 1933 Chicago, Illinois, U.S. |
| Education | Swarthmore College (AB) Cornell University (PhD) |
| Known for | Hopfield network Modern Hopfield network Hopfield dielectric Polariton Kinetic proofreading |
| Awards |
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| Scientific career | |
| Fields | Physics Molecular biology Complex systems Neuroscience |
| Institutions | Bell Labs Princeton University University of California, Berkeley California Institute of Technology |
| Thesis | A quantum-mechanical theory of the contribution of excitons to the complex dielectric constant of crystals (1958) |
| Doctoral advisor | Albert Overhauser |
| Doctoral students | Steven Girvin Bertrand Halperin David J. C. MacKay José Onuchic Terry Sejnowski Erik Winfree |
John Joseph Hopfield (born July 15, 1933)[1] is an American physicist and emeritus professor of Princeton University, most widely known for his study of associative neural networks in 1982. He is known for the development of the Hopfield network.
In 2024 Hopfield, along with Geoffrey Hinton, was awarded the Nobel Prize in Physics for their foundational contributions to machine learning, particularly through their work on artificial neural networks.[2][3] He has been awarded various major physics awards for his work in multidisciplinary fields including condensed matter physics, statistical physics and biophysics.
- ^ "Hopfield, John J." Physics History Network American Institute of Physics. Retrieved October 8, 2024.
- ^ "Press release: The Nobel Prize in Physics 2024". NobelPrize.org. Archived from the original on October 8, 2024. Retrieved October 8, 2024.
- ^ Taylor, D.B.; et al. (October 8, 2024), "Nobel Physics Prize Awarded for Pioneering A.I. Research by 2 Scientists", The New York Times, archived from the original on October 8, 2024, retrieved October 8, 2024