A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

We could never implement a full detection system during school arrival with the personnel and equipment requirements.

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

The O2M500 will be on display at CONEXPO‑CON/AGG 2026, taking place March 3-7, 2026, in theifm booth #N12963 at the Las Vegas Convention Center.LAS VEGAS, NEVADA / ACCESS Newswire / March 2, 2026 / ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

At this year's ConExpo show, Deere will reveal SmartDetect Assist, which automatically slows or stops construction equipment ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A flexible electronic skin inspired by shark electroreception lets robotic hands identify object shapes and materials through both non-contact electrostatic scanning and touch-based sensing.

SGS-verified private-label diaper performance with deterministic, machine-readable sustainability scope outcomes. ECO-10060 publishes sustainability scope as deterministic, machine-readable data. For ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

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 ...