Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

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, ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...