As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

New data show the machine learning algorithms may be used to detect PCWP elevation, aiding in assessment of heart failure with preserved ejection fraction (HFpEF) and pulmonary hypertension (PH) ...

Each of the National Science Foundation (NSF)-funded projects focus on bilevel optimization, something that principal investigator and computer science and engineering assistant professor Kaiyi Ji ...

Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

PARIS, Dec. 18, 2025 (GLOBE NEWSWIRE) -- trxdynis, a leading technology firm in advanced trading solutions, today announced the official launch of its enhanced AI‑Powered Signal System, a ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

While much of the public narrative around the technology sector has focused on layoffs and workforce reductions, industry analysts point to a parallel and more consequential shift unfolding beneath ...

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...