A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from ...

The idea of a perpetual motion machine captivates many scientists, envisioning a device that functions indefinitely without an external energy source. This concept evokes images of self-sustaining ...

John Hopfield and Geoffrey Hinton used tools from physics to develop data analysis methods that underlie machine learning.

Nobel Prize in Physics awarded for research that helped develop the neural networks that are fundamental to modern artificial intelligence.

John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning.

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in ...

Improving hurricane modeling with physics-informed machine learning Algorithm reconstructs wind fields quickly, accurately, and with less observational data Date: November 19, 2024 Source ...