Gopalakrishnan and his team have studied how to boost the movement of ions in magnesium batteries, which can have a higher ...

New research program seeks ‘energy-aware’ ML that balances performance with power draw It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Construction of renewable energy capacity like solar, to power digital AI and data centers is critical. Physical AI and ...

Artificial intelligence has advanced at an extraordinary pace over the past decade. Faster GPUs, larger clusters, and revolutionary architectures have unlocked breakthroughs that once seemed ...

As the global energy landscape rapidly transforms, the integration of distributed energy resources (DERs)—such as photovoltaic (PV) systems, energy storage ...