Electric fields could organize neural activity trial by trial during memory tasks

It's a fact of life that the electrical activity of neurons will vary during the same task, even when the ultimate outcome is ...

Physics-informed AI could accelerate development of controlled-release drug patches, bandages

Brown University researchers have developed a new artificial intelligence method for predicting the rate at which materials ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Forbes

Neural Networks Co-Inventor Geoffrey Hinton Wins Physics Nobel, Fears AI

ANKARA, TURKIYE - OCTOBER 8: An infographic titled "2024 Nobel Prize" created in Ankara, Turkiye on October 8, 2024. 2024 Nobel Prize in physics awarded to John J. Hopfield, Geoffrey E. Hinton for ...
Scientific American

Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...
Princeton University

Princeton’s John Hopfield receives Nobel Prize in physics

Princeton University professor John Hopfield has been awarded the 2024 Nobel Prize in physics "for foundational discoveries and inventions that enable machine learning with artificial neural networks.
Science Daily

Adaptive optical neural network connects thousands of artificial neurons

The study has been published in the journal " Science Advances." What is needed for a neural network in machine learning are artificial neurons which are activated by external excitatory signals, and ...