John J Hopfield and Geoffrey E Hinton win Nobel prize in physics for pioneering work on neural networks
- In Reports
- 04:12 PM, Oct 08, 2024
- Myind Staff
John J Hopfield and Geoffrey E Hinton have been awarded the 2024 Nobel Prize in Physics for their groundbreaking work in the development of artificial neural networks, which have become essential to modern machine learning and artificial intelligence. The Royal Swedish Academy of Sciences announced the prestigious award, recognising their contributions to technology that mimics the human brain’s ability to process information.
Artificial neural networks are inspired by the structure of the brain and consist of nodes, akin to neurons, connected by links that simulate synapses. These systems learn by adjusting the strength of the connections between nodes, enabling them to perform tasks such as data analysis, pattern recognition, and decision-making. The technology has been fundamental in AI advancements, powering innovations like voice recognition software, image analysis, and autonomous vehicles.
Hopfield and Hinton’s work has had a lasting impact on artificial intelligence. Initially driven by their desire to understand how the brain processes information, their research laid the foundation for modern machine learning systems that now play a role in daily life across various industries. Their contributions have pushed the boundaries of technology, paving the way for further innovation in AI applications.
The Nobel Prize in Physics, which comes with an 11 million Swedish kronor (approximately USD 1 million) award, has been presented annually since 1901. Last year’s award was given to Anne L’Huillier, Pierre Agostini, and Ferenc Krausz for their research into electron movements, which could lead to breakthroughs in electronics and medical diagnostics.
The laureates will receive their awards at a ceremony on December 10, the anniversary of Nobel’s death, continuing the legacy of honouring those who have made significant contributions to science and society.
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