Advanced multi-sensor systems are key to detecting unauthorized drones in restricted airspace, combining radar, RF, acoustic, ...

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...

Successful demonstration and positive customer feedback support continued engagement with rail operators in IndiaRa’anana, Israel, March 16, ...

Sand has a memory of sorts. Press into a loose pile of dry grains and something moves, not just where your finger sits, but ...

A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

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

Andres B. Sanchez Alvarado participated in research into combining spectroscopy and ML to analyze complex samples, which has a patent pending. Across the U.S., hundreds of sites on land or in lakes ...

Abstract: Recent advances in machine learning and deep learning have significantly enhanced robot control by improving object detection and visual feature extraction. However, ensuring theoretical ...

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 ...