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

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 ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

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

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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

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

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...