AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...

Artificial intelligence is becoming progressively more prevalent in medical practice, celebrated for increasing accuracy and ...

A New Standard for Financial Integrity As financial crime and regulatory scrutiny intensify, the industry is moving beyond static, periodic reviews to continuous risk assessment. The Sigma360 and ...

AI is reshaping network defense, enabling real-time DDoS detection and automated mitigation across global wholesale networks.

Rethinking the role of the teacher builds on alternatives to scripted material, such as studio-style sessions, flipped problem-based work, team-based clinics, Socratic debates, in-class case simulatio ...

Six researchers with deep ties to India earn elite fellowships to pioneer breakthroughs in global AI adoption and genomic modelling.

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...