Artificial intelligence leaders win Nobel reward in physics

isaan.live — 2 scientists that assisted lay the structures for modern expert system – although one later on cautioned of its potential damages – have been granted the 2024 Nobel reward in physics.

Inspired by the workings of the mind, John Hopfield, a US teacher emeritus at Princeton College, and Geoffrey Hinton, a British-Canadian teacher emeritus at the College of Toronto, built artificial neural networks that store and recover memories such as the human mind, and gain from information fed right into them.

Hinton, 76, that is often called “the godfather of AI”, made headings in 2015 when he quit Msn and yahoo and cautioned about the dangers of devices outsmarting people.

The scientists’ introducing work started in the 1980s and shown how computer system programs that make use of neural networks and statistics could form the basis for a whole area, which led the way for quick and accurate language translation, face acknowledgment systems, and the generative AI that underpins chatbots such as ChatGPT, Gemini and Claude.

Hopfield, 91, was honoured for building “an associative memory that can store and reconstruct pictures and various other kinds of patterns in information”, while Hinton invented a technique that can “independently discover residential or commercial homes in information”, an important feature of the large artificial neural networks being used today.

In 1982, Hopfield built a neural network that kept pictures and various other information as patterns, imitating the way memories are kept in the mind. The network had the ability to remember pictures when triggered with comparable patterns, akin to determining a tune listened to just quickly in a loud bar.

Hinton improved Hopfield’s research by integrating possibilities right into a multilayered variation of the neural network, prominent to a program that could identify, categorize and also produce pictures after being fed a educating set of photos.

Announced by the Imperial Swedish Academy of Sciences in Stockholm, the champions share the 11m Swedish kronor (about £810,000) reward for “fundamental discoveries and innovations that enable artificial intelligence with artificial neural networks”.

Ellen Moons, the chair of the Nobel board for physics, said: “These artificial neural networks have been used to advance research throughout physics subjects as varied as bit physics, material scientific research and astrophysics. They have also enter into our lives, for circumstances in face acknowledgment and language translation.”

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