Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

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

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

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

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

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

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

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

A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...