Iran Press/ Iran news: Hans Ellegren, secretary general of the Royal Swedish Academy of Sciences, awarded the prize Tuesday in Stockholm.
Hopfield, who carries out research at Princeton University in the United States, is known for creating a network in 1982 that can retain and recreate patterns in images and other types of data by identifying the values between points, working through them, and updating the missing values.
Now called Hopfield networks, they can be used to recognise images, correct mistakes, and optimise functions in computer science.
In 1985, Hinton, a computer scientist at the University of Toronto in Canada who is known as the “godfather of AI,” used the Hopfield network to create a new model. After being fed examples, the network – called the Boltzmann machine – can recognise characteristics in data and use that to identify specific elements in images or other patterns.
Hopfield and Hinton’s work, which relied on tools and concepts from physics, set the groundwork for modern machine learning.
“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,” Ellen Moons, chair of the Nobel Committee for Physics, said.
Speaking to journalists, Hinton said that AI-driven advancements will be “comparable with the Industrial Revolution, but instead of exceeding people in physical strength, it’s going to exceed people in intellectual ability”.
That could come with incredible societal benefits, but also “the threat of these things getting out of control,” Hinton said.
Hinton spent a decade working on AI at Google before resigning last year, joining a growing chorus of ex-tech employees to warn about the potential dangers of these systems.
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