John Hopfield
Sign in to saveAmerican scientist (born 1933)
AI overview
John Hopfield is an American scientist born in 1933 who made significant contributions to the field of neural networks and computational biology. His work has been influential in the development of artificial intelligence and the understanding of how networks of interconnected elements can process and store information.
AI-generated from the Wikipedia summary — may contain errors.
Person · Open Library
- Born
- 1933-07-15
- Works
- 1
Top works
- Physics view of brain computation
via Open Library + Wikidata
Listeners · Last.fm
- Listeners
- 2
- Total plays
- 3
<a href="https://www.last.fm/music/John+Hopfield">Read more on Last.fm</a>
Recent publications · Crossref
5 total works indexed
Article
John Joseph Hopfield (born July 15, 1933) 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. Before its invention, research in artificial intelligence (AI) was in a decay period or AI winter, Hopfield's work revitalized large-scale interest in this field.
In 2024 Hopfield, along with Geoffrey Hinton, was awarded the Nobel Prize in Physics for "foundational discoveries and inventions that enable machine learning with artificial neural networks." He has been awarded various major physics awards for his work in multidisciplinary fields including condensed matter physics, statistical physics and biophysics.
Gallery (3)
Connections
Categories
1933 births20th-century American biologists20th-century American physicists21st-century American biologists21st-century American physicistsAlbert Einstein World Award of Science LaureatesAmerican artificial intelligence researchersAmerican biophysicistsAmerican Nobel laureatesAmerican people of Polish descentBenjamin Franklin Medal (Franklin Institute) laureates