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The 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for their groundbreaking contributions to machine learning and artificial neural networks. Their work, which began in the early 1980s, laid the foundation for the powerful AI systems that have become integral to modern technology.
John Hopfield, a professor at Princeton University, is recognized for his development of the Hopfield Network in 1982. This type of neural network models how neurons in the brain might interact to store and process information. His work brought a physics-based approach to understanding neural networks, contributing to the intersection of neuroscience, computer science, and physics.
Geoffrey Hinton, from the University of Toronto, is known as one of the "godfathers of AI" due to his significant advancements in training deep neural networks. His pioneering work, including the development of backpropagation algorithms, helped to optimize neural networks and solve complex problems in pattern recognition, speech, and image analysis. Hinton’s insights have been crucial in making AI technologies, like deep learning, more efficient and applicable to real-world scenarios.
Together, their discoveries and inventions enable today's machine learning systems to handle vast amounts of data and power applications ranging from facial recognition to self-driving cars. This prestigious award highlights how physics continues to shape the development of artificial intelligence, making it a transformative field in both technology and science(Princeton University)(Nature).Thanks to The Express Tribune for good photo.
