University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for ...

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

In all, 180 students have received research fellowships this summer, many of whom are undertaking their work on campus, ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

A new study reveals a noninvasive BCI framework that aligns human neuroplasticity with AI to match invasive accuracies.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Kiran Trivedi, a University of Wollongong (UOW) academic, has developed a low-cost device that identifies disease-carrying ...

I recently wrote about the purgatory job market of 2026, in which potential employees are largely evaluated by automated ...

Discover AI automation stocks in healthcare, insurance & cloud services—see how TRV, CNXC, OPCH & DRIO use workflows to ...