Nobel Prize in physics awarded to 2 scientists for discoveries that enable machine learning

[BumRushDaShow]

Source: AP

Updated 5:59 AM EDT, October 8, 2024


STOCKHOLM (AP) — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning.

“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release. Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.

Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences, said the two laureates “used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets.”

She said that such networks have been used to advance research in physics and “have also become part of our daily lives, for instance in facial recognition and language translation.”

Read more: https://apnews.com/article/nobel-prize-physics-fc0567de3f2ca45f81a7359a017cd542

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The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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5:47 AM · Oct 8, 2024

[Bernardo de La Paz]

1. Hopfield is American and Hinton is British-Canadian, at U of Toronto

Hinton received the 2018 Turing Award, often referred to as the "Nobel Prize of Computing", together with Yoshua Bengio and Yann LeCun, for their work on deep learning.[29] They are sometimes referred to as the "Godfathers of Deep Learning",[30][31] and have continued to give public talks together.[32][33]

In 2004, Geoffrey Hinton began leading CIFAR's (Canadian Institute for Advanced Research) Neural Computation & Adaptive Perception program. Its members included Yoshua Bengio and Yann LeCun, among other neuroscientists, computer scientists, biologists, electrical engineers, physicists, and psychologists. Together, they confirmed Hinton's conviction about the power of neural networks when they created computing systems that mimicked human intelligence. Today, the three are widely acknowledged as the pioneers of deep learning. In 2019, the Association for Computing Machinery (ACM) named Hinton, Bengio and LeCun as recipients of the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.[13]

[LymphocyteLover]

2. sounds more like math than physics

[BumRushDaShow]

3. The resultant "neural network" act-alikes

would be the physics (electrical).

[Ray Bruns]

4. Trump didn't get it for his theory of diverting hurricanes with nuclear weapons?

Fake news

[jfz9580m]

5. Very ai themed this year

I wait for the day when the ecological sciences are taken seriously..