Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent ...

John Hopfield and Geoffrey Hinton won the Nobel Prize in Physics for their work on artificial neural networks and machine learning. Jonathan Nackstrand / AFP via Getty Images A pair of scientists—John ...

Machine learning models energy release during heavy-element formation, enabling faster simulations of neutron star mergers ...

Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...

Discover how artificial intelligence evolved over a century through periods of innovation, AI winters, and the deep learning ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in the world. This ability, known as "relational learning," is widely regarded ...

Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge ...