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John Hopfield

File:John_J._Hopfield_delivering_his_lecture_at_the_2024_Nobel_Prize_Lectures_in_Stockholm.jpg · Wikimedia Commons · See Wikimedia Commons

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John Hopfield

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Also known as John Joseph Hopfield, John J. Hopfield, Hopfield

American 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.

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Person · Open Library

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1

Top works

  • Physics view of brain computation

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Recent publications · Crossref

5 total works indexed

  1. Generalized Gradient Approximation Made Simple

    · 1996 · cited 200,718x

  2. Highly accurate protein structure prediction with AlphaFold

    · 2021 · cited 41,751x

  3. Gene Ontology: tool for the unification of biology

    · 2000 · cited 36,361x

  4. Matplotlib: A 2D Graphics Environment

    · 2007 · cited 34,360x

  5. The MOS 36-ltem Short-Form Health Survey (SF-36)

    · 1992 · cited 28,863x

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Wikidata facts

Image
John J. Hopfield, 2024 Nobel Prize Laureate in Physics 1 (cropped).jpg
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date of birth
1933-07-15
name in native language
John Joseph Hopfield
Commons category
John Hopfield
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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.

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