A new study uses AI on brain scans to predict depression. The findings are modest, but the implications go beyond the ...

Metal additive manufacturing (AM), widely recognised for its ability to produce lightweight and geometrically complex ...

Abstract: Machine learning systems often require updates for various reasons, such as the availability of new data or models and the need to optimize different technical or ethical metrics. Typically, ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

Last month, the Sedona Conference Working Group 13 Annual Meeting and the ASU Arkfeld Conference on eDiscovery, Law, and ...

The Design, Automation & Test in Europe (DATE) Conference in Verona in April showed an EDA research community moving with real momentum into the AI era. The strongest signal from the conference was ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

BioMedWire Editorial Coverage: The ability to accurately detect drug and alcohol intoxication has long been a persistent challenge across industries, from law enforcement and workplace safety to ...

He was a universal genius." Conrad's The Secret Agent, a satire about bomb-wielding anarchists who declare war on science (and whose intentional irony Kaczynski may have missed), presages the ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.