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 ...

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 ...

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 ...

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 ...

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 ...

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

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

New outdoor gunshot detection sensor developed using machine-learning techniques and combining acoustic and infrared sensing for advanced accuracy and earlier threat awareness SDS Perimeter combines ...