John J. Hopfield, Geoffrey E. Hinton to Get 2024 Nobel Prize in Physics for Pioneering Work in Machine Learning

The Royal Swedish Academy of Sciences has selected John J. Hopfield, Princeton University, USA, and Geoffrey E. Hinton, University of Toronto, Canada for the 2024 Nobel Prize in Physics.

Both these physicists are recognised for their pioneering work in machine learning, specifically using artificial neural networks. Their research, drawing on principles of physics, forms the foundation of modern machine learning systems.

Hopfield developed an associative memory system capable of storing and reconstructing data patterns. Hinton introduced methods that allow networks to autonomously discover data properties and perform tasks such as image recognition.

Artificial neural networks are computational systems modelled on the brain’s neurons.

Both these Nobel laureates have been instrumental in shaping the use of these neural network models in machine learning since the 1980s forming foundation for today’s advanced AI technologies.