Machine-learning pioneers net Nobel prize in physics

Stockholm — US scientist John Hopfield and British-Canadian Geoffrey Hinton won the 2024 Nobel prize in physics for discoveries and inventions that laid the foundation for machine learning, the award-giving body said on Tuesday.

Hinton has been widely credited as a godfather of artificial intelligence and made headlines when he quit his job at Google last year to be able to more easily speak about the dangers of the technology he had pioneered.

“We have no experience of what it’s like to have things smarter than us,” Hinton said over the phone to the Nobel press conference, speaking from a hotel in California.

“It’s going to be wonderful in many respects, in areas such as healthcare,” Hinton said. “But we also have to worry about a number of possible bad consequences. Particularly the threat of these things getting out of control.”

Hopfield, 91, a professor emeritus at Princeton University, created an associative memory that can store and reconstruct images and other types of patterns in data, said the Royal Swedish Academy of Sciences, which awards the prize.

“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 academy said.

“Machine learning based on artificial neural networks is now revolutionising science, engineering and daily life.”

The award comes with a prize sum of 11-million Swedish crowns ($1.1m) which is shared by the two winners.

British-born Hinton, 76, now professor emeritus at the University of Toronto, invented a method that can autonomously find properties in data and carry out tasks such as identifying specific elements in pictures, the academy added.

Though he quit Google in 2023 after realising computers could become smarter than people far sooner than he and other experts had expected, Hinton said the company itself acted responsibly.

Hinton also said that he regretted some of his research, but that he acted on the information he had at the time.

“In the same circumstances I would do the same again,” he told the Nobel press conference. “But I am worried that the overall consequence of this might be systems more intelligent than us that eventually take control.”

Asked about the concerns about machine learning and other forms of artificial intelligence, Ellen Moons, chair of the Nobel committee for physics, said: “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 benefit of humankind.” Widely considered the most prestigious award for physicists worldwide, the prize was created, with awards for achievements in science, literature and peace, in the will of Alfred Nobel.

The prizes have been awarded with a few interruptions since 1901, though the Nobel economics honour is a later addition in memory of the Swedish businessman and philanthropist, who had made a fortune from his invention of dynamite.

Outside the sometimes controversial choices for peace and literature, physics often makes the biggest splash among the prizes, with the list of past winners featuring scientific superstars such as Albert Einstein, Niels Bohr and Enrico Fermi.

Last year’s physics prize was awarded to Pierre Agostini, Ferenc Krausz and Anne L’Huillier for their work in creating ultra-short pulses of light that can give a snapshot of changes within atoms, potentially improving the detection of diseases.

Physics is the second Nobel to be awarded this week, after US scientists Victor Ambros and Gary Ruvkun won the medicine prize for their discovery of microRNA and its role in gene regulation, shedding light on how cells specialise.

Reuters