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Deep connections: why two AI pioneers won the Nobel Prize for Physics

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Manage episode 444525365 series 2352990
Contenido proporcionado por Physics World. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Physics World o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It came as a bolt from the blue for many Nobel watchers. This year’s Nobel Prize for Physics went to John Hopfield and Geoffrey Hinton for their “foundational discoveries and inventions that enable machine learning and artificial neural networks”.

In this podcast I explore the connections between artificial intelligence (AI) and physics with the author Anil Ananthaswamy – who has written the book Why Machines Learn: The Elegant Maths Behind Modern AI. We delve into the careers of Hinton and Hopfield and explain how they laid much of the groundwork for today’s AI systems.

We also look at why Hinton has spoken out about the dangers of AI and chat about the connection between this year’s physics and chemistry Nobel prizes.

SmarAct Group logo

SmarAct proudly supports Physics World‘s Nobel Prize coverage, advancing breakthroughs in science and technology through high-precision positioning, metrology and automation. Discover how SmarAct shapes the future of innovation at smaract.com.

  continue reading

318 episodios

Artwork
iconCompartir
 
Manage episode 444525365 series 2352990
Contenido proporcionado por Physics World. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Physics World o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It came as a bolt from the blue for many Nobel watchers. This year’s Nobel Prize for Physics went to John Hopfield and Geoffrey Hinton for their “foundational discoveries and inventions that enable machine learning and artificial neural networks”.

In this podcast I explore the connections between artificial intelligence (AI) and physics with the author Anil Ananthaswamy – who has written the book Why Machines Learn: The Elegant Maths Behind Modern AI. We delve into the careers of Hinton and Hopfield and explain how they laid much of the groundwork for today’s AI systems.

We also look at why Hinton has spoken out about the dangers of AI and chat about the connection between this year’s physics and chemistry Nobel prizes.

SmarAct Group logo

SmarAct proudly supports Physics World‘s Nobel Prize coverage, advancing breakthroughs in science and technology through high-precision positioning, metrology and automation. Discover how SmarAct shapes the future of innovation at smaract.com.

  continue reading

318 episodios

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