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 ...

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

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.

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

The Nobel Prize shows that the field of artificial neural networks – and the deep learning AI revolution the technology unleashed – owe as much to physics as biology and computer science.

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 ...

One laureate recognized for foundational discoveries and inventions that enable machine learning warns of “possible bad consequences” of artificial intelligence. The Nobel Prize in physics was ...

NEWS 08 October 2024 Physics Nobel scooped by machine-learning pioneers John Hopfield and Geoffrey Hinton pioneered computational methods that enabled the development of neural networks.