A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

Nearly a third of US supercomputer time is spent on molecular modeling, a way to test-drive new drugs and materials on the computer before making them in the lab. The most accurate approach is the ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing and other additive manufacturing processes. Supported by a three-year, ...

Xiangyu Li and Shaodong Zhang at the University of Tennessee, Knoxville developed a machine learning-assisted model to ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...