New research and applied programs in collegiate athletics are using machine learning, wearable sensors, and injury surveillance to predict performance and reduce injury risk. Studies show over 90% ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Texas A&M biochemistry student Dimitris Kalafatis '27 named a 2026 Barry Goldwater Scholar for research on protein ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

An ultrathin silicone film being developed at Saarland University enables pumps to operate without motors, without compressed ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...