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Two Pioneers in Artificial Intelligence Win Nobel Prize in Physics

Two Pioneers in Artificial Intelligence Win Nobel Prize in Physics
  • PublishedOctober 9, 2024
The Nobel Prize in Physics was awarded on Tuesday to two scientists from the United States and Canada for their groundbreaking work in artificial intelligence, which has laid the foundation for modern machine learning.

John Hopfield of Princeton University developed an associative memory capable of storing and reconstructing images and patterns from data. Geoffrey Hinton, from the University of Toronto, invented a method that allows machines to autonomously identify specific elements in pictures.

Photo: Geoffrey Hinton – THE CANADIAN PRESS/Chris Young

“The laureates’ work has already provided significant benefits,” stated Ellen Moons, chair of the Nobel Committee for Physics. “In physics, we use artificial neural networks to develop materials with specific properties, for example.”

The committee explained that the idea of machine learning using artificial neural networks was inspired by the way the human brain works. In these networks, brain neurons are represented by nodes with different values that influence each other through connections.

“This year’s laureates have been working on artificial neural networks since the 1980s,” the committee noted. “The world is only now beginning to fully appreciate how their contributions to AI have shaped modern technology and will continue to do so.”

Hinton, often referred to as the “Godfather of AI,” made headlines last year when he left Google to focus on the potential risks posed by AI. He later joined hundreds of tech leaders in signing a statement warning about AI’s risks without the proper safeguards.

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