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

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 ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Barksdale Federal Credit Union has selected its platform to enhance origination fraud and anomaly detection to ...

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 ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

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 ...

MAS is conducting a proof-of-value (POV) exercise to explore the use of AI and machine learning in pre-emptive scam detection ...

Sumsub has upgraded deepfake detection tool uses online learning to help spot emerging AI-generated fraud threats faster.

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 ...