Geoffrey Hinton wins Nobel Prize in Physics
A U of T University Professor Emeritus, Hinton shared the honour with Princeton University's John J. Hopfield for discoveries and inventions that enable machine learning with artificial neural networks
Congratulations to Emeritus Professor, Dr. Geoffrey Hinton, of the Computer Science Department (CPIN Participating Department) for winning the 2024 Nobel Prize in Physics.
In a recent update from the Nobel Prize website, Geoffrey Hinton’s pioneering work is highlighted for his contributions to the development of machine learning. He built upon the Hopfield network and introduced the Boltzmann machine, which can learn to recognize characteristic patterns in data. According to the Nobel Prize’s description, “Hinton used tools from statistical physics, the science of systems built from many similar components. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained.” His research laid the foundation for the current advancements in the field of machine learning.
Source: Nobel Prize. (2024). The Nobel Prize in Physics 2024. Retrieved from https://www.nobelprize.org/prizes/physics/2024/summary/
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