Conpehague/The 2024 Nobel Prize in Physics goes to John J. Hopfield and Geoffrey E. Hinton “for fundamental discoveries and inventions that enable machine learning with artificial neural networks,” the Royal Swedish Academy of Sciences reported this Tuesday.
Hopfield, of Princeton University in the United States, created an associative memory that can store and reconstruct images and other types of patterns contained in data.
On the other hand, Hinton, from the Canadian University of Toronto, invented a method that can independently discover properties in data and that has become important for the large artificial neural networks used today.
“Using fundamental concepts and methods of physics, they have developed technologies that use network structures to process information”
“Although computers cannot think, machines can now imitate functions such as memory and learning. This year’s laureates in Physics have helped make this possible,” the institution reported.
“Using fundamental concepts and methods from physics, they have developed technologies that use network structures to process information,” he added.
The Royal Swedish Academy of Sciences pointed out how thanks to its work, what is known as Artificial Intelligence (AI) is “revolutionizing science, engineering and daily life”, although it also warned of the risks and the need for responsibility to use these technologies in a “safe and ethical” way.
The Nobel Prize in Physics is the second in the round of these prestigious awards, after announced yesterday that of Medicinewhich went to the Americans Victor Ambros and Gary Ruvkun and waiting for the winners of Chemistry, Literature, Peace and finally Economics to be announced in successive days, next Monday.
