Geoffrey Hinton from University of Toronto awarded Nobel Prize in Physics
Hinton and John Hopfield of Princeton University were honoured for work that enables machine learning
British Canadian scientist Geoffrey Hinton from the University of Toronto and American scientist John Hopfield of Princeton University were honoured with the 2024 Nobel Prize in Physics for discoveries and inventions that enable machine learning within artificial neural networks, the award-giving body said on Tuesday.
Hinton, born in Britain, has spent the last decade splitting his time between teaching computer science at the University of Toronto and working for Google's deep-learning artificial intelligence team, before announcing his resignation from the Alphabet company in 2023.
"I'm flabbergasted," Hinton told the panel gathered at the Royal Swedish Academy of Sciences in Stockholm by phone. "I had no idea this would happen. I'm very surprised."
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."
Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data, the academy said. The patterns are stored in the form of "Hopfield networks" that use atomic physics to encode the data, then later compare, reproduce and differentiate between images.
Hinton, who has been nicknamed 'the godfather of AI', invented a method that can autonomously find properties in data and carry out tasks such as identifying specific elements in pictures, it added.
The work of the two prize winners was closely connected. In an interview with News Network earlier this morning, Hinton said that in fact, one of his most influential mentors was one of Hopfield's students, Terry Sejnowski, who worked with him on his "most exciting research" — how to make "Hopfield networks" more general and enable them to learn from examples, as humans can (rather than just instructions, as machines traditionally did).
To do that, Hinton used statistical physics, based on an equation invented by nineteenth century physicist Ludwig Boltzmann, creating a "Boltzmann machine." It can classify images, but it can also create new patterns based on the probabilities of traits in previous patterns it has been trained on. That makes it an early example of a "generative model," explains the Royal Swedish Academy of Sciences in a profile of his work. Building on this work has led to "generative AI," like ChatGPT — a technology that has recently gained lots of attention for its ability to create new works such as essays and images from examples. And it's happened much faster than Hinton expected.
"I thought in the end if we could get this stuff to work it would be very important, but I thought it would take longer to have this big an effect," he said. He added that what AI can do now would have been considered "science fiction" 10 years ago, and similar leaps will be made in the next 10 years.
AI could get 'smarter than us': Hinton
Hinton said he believed the effects of the advancements in artificial intelligence will be comparable to those of the Industrial Revolution, leading to large gains in productivity and offering efficiencies through the development of artificial intelligence assistants that will help in many sectors, including in the delivery of health care.
"It's going to be fantastic, which is why progress is not going to be stopped. I don't think we can hit a pause button AI because there's so many enormous benefits from it," he told CBC News. "But we really need to worry about how to keep it under control."
As he has warned since leaving Google, there could be unintended consequences resulting from the advancement of AI technologies being able to write its own computer code.
"We have no experience of what it's like to have things smarter than us," he said, while in California on Tuesday.
He accused companies like OpenAI of putting profits ahead of safety by not putting enough resources into solving the problem.
Unfortunately, he said, there is currently no known solution to stop AI from taking control away from people in the future.
"I think I'm too old to figure out new ideas about what to do," he added, "but I'm not too old to recommend that governments should make big companies provide the resources, and the young researchers should work very hard to figure out if there is a way that people can stay in control."
Asked if he had a preferred online AI tool, Hinton said he has used GPT-4 from OpenAI frequently, though allowing, "I don't totally trust it, because it can hallucinate."
Hinton has accumulated a number of previous honours, earning the prestigious A.M. Turing Award for contributions to computer science. That same year, he was appointed as a companion of the Order of Canada for developing "learning algorithms that allow computers to recognize speech, interpret images and find structure in complex data sets."
He first joined the faculty at U of T in 1987, and has been an adviser at the Canadian Institute for Advanced Research.
Hinton has also championed local Toronto institutions that promote and foster an interest in science and research among young people.
In a separate interview with CBC Radio's Metro Morning on Tuesday, Hinton was asked what advice he would give to aspiring scientists in the city, especially given the sudden closure of the Ontario Science Centre earlier this year by Premier Doug Ford's government.
"Don't elect someone who's going to destroy the Science Centre," Hinton said.
He went on to encourage young people to follow their curiosity.
"The best research comes out of being curious about how things work. Everybody's curious, and science is just being efficient about your curiosity so that you discover how things actually work.
"That's how you get the best research done."
The Nobel prizes carry a cash award of 11 million Swedish kronor ($1.44 million Cdn), which is shared between the winners if there is more than one person honoured.
The money comes from a bequest left by the prize's creator, Swedish inventor Alfred Nobel. The laureates are invited to receive their awards at ceremonies on Dec. 10, the anniversary of Nobel's death.
The physics award comes a day after two American biologists, Victor Ambros and Gary Ruvkun, won the Nobel Prize in Medicine for the discovery of microRNA.
Nobel announcements will continue with the chemistry prize on Wednesday and the literature prize on Thursday. The Nobel Peace Prize will be announced on Friday and the economics award on Oct. 14.
With files from The Associated Press and Reuters