Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Using machine learning, researchers mapped a 250-kilometer earthquake cluster along the Yakutat slab edge, revealing ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

There's no shortage of valuable equipment and machines in the gym, but once you settle into a familiar routine, you'll likely find yourself less likely to try out other machines. But switching up your ...

Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are ...