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The 2024Nobel Prize in physicshas been award to two scientists who laid the foundations for today ’s rapid advancements inartificial intelligence(AI ) .
John HopfieldandGeoffrey Hintonwill share the 11 million Swedish Icelandic krona ( $ 1.03 million ) prize for their work onartificial neural networksand the algorithmic program that enable machines to watch , the Royal Swedish Academy of Sciences , which select the Nobel laureates in cathartic , herald Tuesday ( Oct. 8) .
The Nobel Committe for Physics announces John Hopfield and Geoffrey Hinton as the winners of the 2024 Nobel Prize for Physics.
" I ’m flabbergasted , I had no thought this would find , I ’m very surprised , " Hinton enjoin by phoneat a news group discussion . He was speaking from a hotel in California with poor internet and a bad phone connection . " I was locomote to get an MRI scan today , but I think I ’ll have to call off that . "
Hopfield , a professor in life science at Princeton University , was recognized for creating an associative memory internet — which he first aim as Hopfield net in 1982 — that can save and retrace figure and other convention from frail data .
Hinton , a figurer scientist at the University of Toronto , used Hopfield ’s internet in the early 2000s as the foundation for a method acting known as the " Boltzmann machine . " Using tools from statistical purgative , Hinton ’s produced neural networks that can spot patterns in data , enable them to assort image or create new examples of the traffic pattern it was civilise on .
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Taken together , the two advances were fundamental to the development of machine learning , which has since produced an explosion in new AI technologies and program .
" The laureate ' work has already been of the great benefit . In physics we use contrived nervous networks in a vast chain of surface area , such as developing young material with specific properties,“Ellen Moons , the chair of the Nobel Committee for Physics , said in a statement .
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notice on the implications of his engineering at the news group discussion , Hinton said that machine scholarship will " have a huge influence , it will be comparable with the industrial revolution . But rather of exceeding people in forcible strength , it ’s lead to exceed masses in intellectual ability . "
The researchers ’ work representeda shift in AI researchaway from symbolic logical system — which attempted to copy characteristic of human intelligence using symbolic representation implant inside logic systems — todeep learning electronic web . The latter apply layers of artificial neurons and immense quantities of data to loosely emulate processes in the human brain .
mysterious erudition has been around since the 1980s , but tremendous energy , data , and computational necessity kept the applied science in a nascent phase until 10 years ago , when computing advancessped it up .
" We have no experience of what it ’s like to have thing smarter than us . It ’s extend to be wonderful in many esteem , " he total , mention benefits to healthcare and improvement to productiveness . " But we also have to concern about a number of possible defective consequence , particularlythe threat of these thing receive out of mastery . "
