The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion ...

Five hundred thousand times per second, the Electron-Ion Collider (EIC) will record a collision.

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

PG&E's new monitoring center uses machine learning to detect and prevent wildfires, avoiding ignitions and outages.

Investigators evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Study indicates that a fitness tracker can ...

Typical human aging brings about subtle changes in the body that can impair daily activities and quality of life. For many people, aging brings about tremors and the slowing of hand movement. Using ...

A new device developed in Boise could make it faster and cheaper to detect PFAS — the so-called “forever chemicals” linked to ...