The Nobel Assembly at the Karolinska Institute in Sweden announced on Tuesday that the 2024 Nobel Prize in Physics goes to American scientists John Hopfield and British Geoffrey Hinton for their work on machine learning techniques by developing artificial neural networks and the underlying algorithms that allow machines to learn, which is what we mean today when we talk about artificial intelligence. Hopfield is a professor at Princeton University in the United States, while Hinton is a professor at the University of Toronto in Canada. The projects that the Nobel laureates worked on are key to models of artificial intelligence, big data, and modern software such as ChatGPT. While AI has not been a strong contender for the Nobel Prize in Physics, the discovery of neural networks that can learn and their applications are closely related to physics, Moons said: “These artificial neural networks have been used to advance research in various physics topics, such as particle physics, materials science, and astrophysics.” Applications of the technology include many early approaches to AI, such as providing computer programs with logical rules to help solve problems. Hopfield’s algorithm was inspired by work in physics that finds the energy of a magnetic system by describing it as a collection of small magnets.

Source: Daily News Egypt October 08, 2024 14:42 UTC