Pioneers in artificial intelligence win the Nobel Prize in physics
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[October 08, 2024]
By DANIEL NIEMANN and MIKE CORDER
STOCKHOLM (AP) — Two pioneers of artificial intelligence – John Hopfield
and Geoffrey Hinton – won the Nobel Prize in physics Tuesday for helping
create the building blocks of machine learning that is revolutionizing
the way we work and live but also creates new threats to humanity, one
of the winners said.
Hinton, who is known as the Godfather of artificial intelligence, is a
citizen of Canada and Britain who works at the University of Toronto and
Hopfield is an American working at Princeton.
“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.
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.”
Hinton predicted that AI will end up having a “huge influence” on
civilization, bringing improvements in productivity and health care.
“It would be comparable with the Industrial Revolution,” he said in the
open call with reporters and the officials from the Royal Swedish
Academy of Sciences.
“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,” 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.”
The Nobel committee that honored the science behind machine learning and
AI also mentioned fears about its possible flipside. Moon said that
while it 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.”
Hinton shares those concerns. He quit a role at Google so he could more
freely speak about the dangers of the technology he helped create.
On Tuesday, he said he was shocked at the honor.
“I’m flabbergasted. I had, no idea this would happen,” he said when
reached by the Nobel committee on the phone.
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John Hopfield and Geoffrey Hinton, seen in picture, are awarded this
year's Nobel Prize in Physics, which is announced at a press
conference by Hans Ellergren, center, permanent secretary at the
Swedish Academy of Sciences in Stockholm, Sweden Tuesday Oct. 8,
2024. (Christine Olsson/TT News Agency via AP)
Hinton, now 76, in the 1980s helped develop a technique known as
backpropagation that has been instrumental in training machines how
to “learn.”
His team at the University of Toronto later wowed peers by using a
neural network to win the prestigious ImageNet computer vision
competition in 2012. That win spawned a flurry of copycats, giving
birth to the rise of modern AI.
Hinton and fellow AI scientists Yoshua Bengio and Yann LeCun won
computer science’s top prize, the Turing Award, in 2019.
“For a long time, people thought what the three of us were doing was
nonsense,” Hinton told The Associated Press in 2019. “They thought
we were very misguided and what we were doing was a very surprising
thing for apparently intelligent people to waste their time on. My
message to young researchers is, don’t be put off if everyone tells
you what are doing is silly.”
Hopfield, 91, created an associative memory that can store and
reconstruct images and other types of patterns in data, the Nobel
committee said. Hinton used Hopfield's network as the foundation for
a new network that uses a different method, known as the Boltzmann
machine, that the committee said can learn to recognise
characteristic elements in a given type of data.
Six days of Nobel announcements opened Monday with Americans Victor
Ambros and Gary Ruvkun winning the medicine prize for their
discovery of tiny bits of genetic material that serve as on and off
switches inside cells that help control what the cells do and when
they do it. If scientists can better understand how they work and
how to manipulate them, it could one day lead to powerful treatments
for diseases like cancer.
The physics prize carries a cash award of 11 million Swedish kronor
($1 million) from a bequest left by the award'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.
Nobel announcements continue with the chemistry physics prize on
Wednesday and literature on Thursday. The Nobel Peace Prize will be
announced Friday and the economics award on Oct. 14.
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Corder reported from The Hague, Netherlands. Associated Press
reporter Matt O'Brien contributed from Providence, Rhode Island.
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