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THE 2024 PHYSICS NOBEL PRIZE: THE FOUNDATIONS OF ARTIFICIAL INTELLIGENCE.

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Title: THE 2024 PHYSICS NOBEL PRIZE: THE FOUNDATIONS OF ARTIFICIAL INTELLIGENCE.
Alternate Title: EL PREMIO NOBEL DE FISICA DEL 2024: LOS FUNDAMENTOS DE LA INTELIGENCIA ARRTIFICIAL.
Authors: MULET, R.1 roberto.mulet@gmail.com, DIAZ-FALOH, C.1
Source: Revista Cubana de Física. Dec2024, Vol. 41 Issue 2, p134-136. 3p.
Subjects: ARTIFICIAL neural networks, NOBEL Prize in Physics, ARTIFICIAL intelligence, MACHINE learning, AWARDS
Abstract (English): The 2024 Nobel Prize in Physics was jointly awarded to John Hopfield and Geoffrey Hinton "for foundational discoveries and inventions that enable machine learning with artificial neural networks". Here we try to explain the meaning of this statement and why we consider their contribution to be an important advance for Physics. This prize is probably the definitive demostration that once again in History, Physics is more than the study of innanimate natural objects. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): El Premio Nobel de Física del año 2024 fue entregado a John Hopfield y Geoffrey Hinton por "descubrimientos fundacionales e invenciones que permiten el aprendizaje automático con redes neuronales artificiales". Aquí tratamos de explicar el significado de esta sentencia, y por qué consideramos que sus contribuciones son importantes avances para la Física. Este premio es probablemente la demonstración definitiva de que la Física, una vez más en la historia, es más que el estudio de los objetos inanimados de la naturaleza. [ABSTRACT FROM AUTHOR]
Copyright of Revista Cubana de Física is the property of Universidad de La Habana and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: THE 2024 PHYSICS NOBEL PRIZE: THE FOUNDATIONS OF ARTIFICIAL INTELLIGENCE.
– Name: TitleAlt
  Label: Alternate Title
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  Data: EL PREMIO NOBEL DE FISICA DEL 2024: LOS FUNDAMENTOS DE LA INTELIGENCIA ARRTIFICIAL.
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  Data: <searchLink fieldCode="AR" term="%22MULET%2C+R%2E%22">MULET, R.</searchLink><relatesTo>1</relatesTo><i> roberto.mulet@gmail.com</i><br /><searchLink fieldCode="AR" term="%22DIAZ-FALOH%2C+C%2E%22">DIAZ-FALOH, C.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Cubana+de+Física%22">Revista Cubana de Física</searchLink>. Dec2024, Vol. 41 Issue 2, p134-136. 3p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22ARTIFICIAL+neural+networks%22">ARTIFICIAL neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22NOBEL+Prize+in+Physics%22">NOBEL Prize in Physics</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22MACHINE+learning%22">MACHINE learning</searchLink><br /><searchLink fieldCode="DE" term="%22AWARDS%22">AWARDS</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: The 2024 Nobel Prize in Physics was jointly awarded to John Hopfield and Geoffrey Hinton "for foundational discoveries and inventions that enable machine learning with artificial neural networks". Here we try to explain the meaning of this statement and why we consider their contribution to be an important advance for Physics. This prize is probably the definitive demostration that once again in History, Physics is more than the study of innanimate natural objects. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: El Premio Nobel de Física del año 2024 fue entregado a John Hopfield y Geoffrey Hinton por "descubrimientos fundacionales e invenciones que permiten el aprendizaje automático con redes neuronales artificiales". Aquí tratamos de explicar el significado de esta sentencia, y por qué consideramos que sus contribuciones son importantes avances para la Física. Este premio es probablemente la demonstración definitiva de que la Física, una vez más en la historia, es más que el estudio de los objetos inanimados de la naturaleza. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Revista Cubana de Física is the property of Universidad de La Habana and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 3
        StartPage: 134
    Subjects:
      – SubjectFull: ARTIFICIAL neural networks
        Type: general
      – SubjectFull: NOBEL Prize in Physics
        Type: general
      – SubjectFull: ARTIFICIAL intelligence
        Type: general
      – SubjectFull: MACHINE learning
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      – SubjectFull: AWARDS
        Type: general
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      – TitleFull: THE 2024 PHYSICS NOBEL PRIZE: THE FOUNDATIONS OF ARTIFICIAL INTELLIGENCE.
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              Text: Dec2024
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              Y: 2024
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