one year on
Nobel Prize in Physics awarded to John Hopfield and Geoffrey Hinton for neural network foundations
The Royal Swedish Academy of Sciences honors two pioneers whose work in artificial neural networks, rooted in physics, underpins today's machine learning revolution.
The Royal Swedish Academy of Sciences today awarded the 2024 Nobel Prize in Physics to John J. Hopfield of Princeton University and Geoffrey Hinton of the University of Toronto for their foundational discoveries enabling machine learning with artificial neural networks.
Hopfield, now 91, created the Hopfield network in the 1980s, an associative memory that can store and reconstruct patterns using principles from physics—specifically, the energy of a spin system. Hinton, 76, extended this work with the Boltzmann machine, a neural network that learns to recognize characteristic elements in data using statistical physics. Their work, beginning in the 1980s, laid the groundwork for the current explosive development of machine learning.
The record
Chair of the Nobel Committee for Physics, stated that the laureates' work has already been of the greatest benefit in physics, including developing new materials.
One year later — open only if you can handle spoilers
This award cemented the Nobel's embrace of cross-disciplinary AI research. In subsequent years, the computer science community increasingly claimed Hinton and Hopfield as their own, while physics departments debated whether neural networks truly belong under the physics umbrella. The prize also amplified Hinton's AI risk warnings, which became a regular part of Nobel acceptance speeches.