Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

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

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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 ...

Build real-world automation skills using ChatGPT, machine learning concepts, and practical workflow strategies.

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

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview covers the application of AI in tracking energy use, detecting potential device ...

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 ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...