October 8, 2024
3 min learn
Nobel Prize in Physics Awarded for Breakthroughs in Machine Studying
The 2024 Nobel Prize in Physics was given to John Hopfield and Geoffrey Hinton for improvement of strategies that laid the inspiration for revolutionary advances in synthetic intelligence
John Hopfield and Geoffrey Hinton received this yr’s Nobel Prize in physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks,” the Nobel Committee proclaims.
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The human mind, with its billions of interconnected neurons giving rise to consciousness, is mostly thought-about probably the most highly effective and versatile laptop within the identified universe. But for many years scientists have been in search of to alter that through machine studying approaches that emulate the mind’s adaptive computational prowess. The 2024 Nobel Prize in Physics was awarded on Tuesday to the U.S. scientist John Hopfield and the U.Ok. scientist Geoffrey Hinton, every of whom used the instruments of physics to develop synthetic neural networks that laid the foundations for a lot of of as we speak’s most superior synthetic intelligence (AI) functions.
Reached through phone whereas in California, Hinton informed the Royal Swedish Academy of Sciences that he was “flabbergasted” to study he’d obtained the award. After many years of effort to advance AI, he’s now probably the most distinguished advocates for higher safeguards, having stepped down final yr from an influential place at Google to talk extra freely in regards to the expertise’s dangers. “[AI] will be comparable with the industrial revolution,” he mentioned throughout his phone interview. “But instead of exceeding people in physical strength, it’s going to exceed people in intellectual ability. We have no experience of what it’s like to have things smarter than us, and it’s going to be wonderful in many respects… But we also have to worry about a number of possible bad consequences, particularly the threat of these things getting out of control.”
Impressed by the mind’s anatomical construction, synthetic neural networks signify neurons with nodes that possess totally different values. These nodes kind networks of connections, akin to the mind’s pure neural synapses, which will be made stronger or weaker via coaching on any arbitrary knowledge set. This adaptive response permits the substitute neural community to higher acknowledge patterns inside knowledge and make subsequent predictions for the long run—that’s, to study with out being explicitly programmed.
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Hopfield, a professor at Princeton College in New Jersey, devised an associative reminiscence—the so-called Hopfield community—that shops and recreates photographs and different patterns in knowledge. Hinton, a professor on the College of Toronto, used Hopfield’s methodology in tandem with a distinct method, the Boltzmann machine, which excels at sample recognition. Hinton’s methodology can be utilized, for instance, to categorise photographs or create new situations of an noticed sample; the method has helped gas the continued explosion of progress in synthetic intelligence that’s remodeling myriad sectors of human endeavor. Each Hopfield and Hinton started their pioneering work within the Nineteen Eighties.
“This year’s physics laureates’ breakthroughs stand on the foundations of physical science,” the Nobel committee mentioned on X (previously Twitter). “They have showed a completely new way for us to use computers to aid and to guide us to tackle many of the challenges our society face.”
Ellen Moons, a professor at Karlstad College in Sweden and chair of the Nobel committee on physics, described AI’s promise and peril in remarks at a press convention in Stockholm on Tuesday. “The laureates’ discoveries and inventions form the building blocks of machine learning that can aid humans in making faster and more reliable decisions—for instance, when diagnosing medical conditions. However, while machine learning has enormous benefits, its rapid development has also raised concerns about our future. Collectively, humans carry the responsibility for using this new technology in a safe and ethical way for the greatest benefits of humankind.”
