It might be less visible than dwindling lion populations or vanishing pandas, but the quiet crisis of small mammal extinction ...

Researchers at the Regional Service for Agri-Food Research and Development (SERIDA) have developed a new large-scale remote ...

Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

ORANGE, Calif. (KABC) -- If radiologists can catch a breast tumor when it's two centimeters or less, doctors say the cure rate is 90 percent. Providence St. Joseph Hospital in Orange is pairing ...

LITTLE ROCK, Ark. - Arkansas work zone cameras will now be able to detect when drivers are on their cell phone or other handheld devices, the state Department of Transportation (ARDOT) announced ...

Abstract: real-world IoT data analysis tasks, such as clustering and anomaly event detection, are unsupervised and highly susceptible to the presence of outliers. In addition to sporadic scattered ...

Mobile phone detection cameras are now being introduced on UK roads. This video explains how the technology works, what it can detect, and how police use it to identify drivers using phones behind the ...

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 ...

WASHINGTON, Dec. 16, 2025 — Helium leaks are hard to detect. Helium is odorless, colorless, tasteless, and does not react with other chemical substances. Not only can we not see or smell it, but ...

Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...