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.

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

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 ...

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

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 ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

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

Researchers have found that even people with limited experience in biology can use AI to help them create a dangerous ...

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...