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 / ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

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.

Abstract: In this paper, the application of image processing and machine learning in object recognition is studied. Firstly, a calculation method based on color, size and leaf area ratio is proposed.

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

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

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 ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.