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Nobel Prize in Physics 2024 awarded to A.I. pioneers Hopfield and Hinton

Editorial Team by Editorial Team
October 8, 2024
in EU, US
Nobel Prize in Physics 2024 awarded to A.I. pioneers Hopfield and Hinton
John J Hopfield and Geoffrey E Hinton are awarded 2024’s Nobel Prize in Physics, which is announced at a press conference by Hans Ellegren (centre), Secretary General at the Swedish Academy of Sciences, Stockholm, Sweden October 8, 2024. Photo: TT News Agency/via Reuters

STOCKHOLM,— The Nobel Prize in Physics for 2024 has been awarded to two prominent scientists whose pioneering work laid the groundwork for modern machine learning.

John Hopfield, a U.S. physicist, and Geoffrey Hinton, a British-Canadian researcher, were recognized for their groundbreaking contributions that have revolutionized the fields of artificial intelligence and data science, according to the Royal Swedish Academy of Sciences, which announced the award on Tuesday.

Hinton, widely regarded as a leading figure in the development of artificial intelligence, gained additional public attention after his departure from Google in 2023. This move, which he attributed to his growing concern about the potential risks posed by advanced AI, allowed him to speak more freely on the ethical and societal implications of the technology he helped to create.

“We’ve never experienced anything more intelligent than ourselves,” Hinton remarked during a phone interview with the Nobel press conference, speaking from a California hotel. He emphasized the dual nature of AI’s potential, saying, “While it holds tremendous promise in fields like healthcare, there are significant risks. We must be cautious about the possibility of these systems evolving beyond our control.”

At 91, John Hopfield, an emeritus professor from Princeton University, was honored for his development of associative memory models. His work enables the storage and retrieval of complex data patterns, such as images, forming the basis for significant advancements in the science of machine learning.

In a statement, the Royal Swedish Academy of Sciences emphasized the importance of their discoveries, saying, “This year’s Nobel Laureates in Physics have harnessed concepts from the field of physics to develop the foundations of today’s cutting-edge machine learning technologies. These breakthroughs in artificial neural networks are revolutionizing various aspects of science, engineering, and everyday life.”

The Nobel Prize in Physics is widely recognized as one of the most prestigious awards in the scientific world. This year, Hopfield and Hinton will share a prize sum of 11 million Swedish crowns (approximately $1.1 million USD).

Geoffrey Hinton, 76, a professor emeritus at the University of Toronto, is credited with developing methods that allow computers to automatically discover patterns in data. These methods enable machines to carry out tasks such as recognizing specific elements within images, a key development in the evolution of artificial intelligence.

Hinton’s decision to leave his position at Google was driven by his realization that AI was progressing more rapidly than anticipated. He expressed concerns that computers could surpass human intelligence much sooner than experts had originally predicted. Despite his worries, Hinton acknowledged that Google had been responsible in its development and deployment of AI technologies.

Reflecting on his career, Hinton said, “I have some regrets about my research, but I made decisions based on the knowledge I had at the time. In similar circumstances, I would likely do the same again. My concern now is that systems could become more intelligent than we are, potentially leading to a loss of control.”

The rapid advancements in artificial intelligence have raised significant ethical and practical concerns. During the announcement, Ellen Moons, chair of the Nobel Committee for Physics, addressed these challenges, acknowledging both the positive and negative aspects of AI.

“Machine learning offers immense benefits,” Moons stated, “but its swift development also brings with it serious questions about our future. It is the collective responsibility of humanity to ensure that we use this powerful technology in an ethical and safe manner, for the greater good.”

The Nobel Prize in Physics has been awarded since 1901, making it one of the oldest and most prestigious scientific honors in the world. Past recipients include luminaries such as Albert Einstein, Niels Bohr, and Enrico Fermi.

While the Nobel Prizes in Peace and Literature have sometimes sparked controversy, the physics award is traditionally celebrated for recognizing groundbreaking scientific achievements that have far-reaching implications.

Last year’s Nobel Prize in Physics was awarded to Pierre Agostini, Ferenc Krausz, and Anne L’Huillier for their work in producing ultra-short pulses of light, which can capture atomic-level changes. Their research has implications for advancements in medical diagnostics, particularly in detecting diseases at earlier stages.

The Physics Prize is the second Nobel award announced this week. Earlier, U.S. scientists Victor Ambros and Gary Ruvkun were honored with the Nobel Prize in Medicine for their discovery of microRNA, a critical molecule involved in gene regulation. Their findings have provided new insights into how cells specialize, advancing our understanding of developmental biology and diseases.

The Nobel Prizes, including those for achievements in literature, peace, and economics, are awarded in accordance with the will of Alfred Nobel, the Swedish inventor of dynamite and philanthropist.

Though the prizes have been awarded almost annually since their inception, there have been occasional interruptions, often due to global conflicts. With this latest recognition, Hopfield and Hinton join an elite group of physicists who have changed the world through their work, underscoring the growing importance of artificial intelligence and machine learning in shaping the future of science, technology, and society.

(With files from Reuters)

Copyright © 2024 iKurd.net. All rights reserved

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