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 ...

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 ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

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

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

As artificial intelligence models become more sophisticated, asset owners and managers are rethinking portfolio construction ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

For farms hesitant to increase fiber inclusion, the 14% improvement in energy prediction accuracy provides a more reliable ...