A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

Abstract: Global navigation satellite system (GNSS) radio signals are extremely susceptible to interference in urban environments, and even multifrequency geodetic receiver observation data are often ...

For the past four months, researchers at the University of North Texas have been using artificial intelligence images of traffic debris and carcasses to help detect road hazards. "Every year, there's ...

LAFAYETTE, La. (KLFY) — Our Lady of Lourdes is now offering patients the latest in lung cancer treatment using AI. The new artificial intelligence-based software and robot-assisted biopsy technology ...

JONESBORO, Ark. (KAIT) - The Arkansas Department of Transportation announced Friday it will use cameras in work zones to detect drivers using phones or other handheld devices. The initiative between ...

LITTLE ROCK, Ark. — The Arkansas Highway Police will begin using new camera technology in interstate work zones to detect drivers using handheld devices, expanding enforcement beyond speeding ...

Christmas is just around the corner, as millions of people finalise their Christmas shopping, dinner menu and even routine for the day. Everyone does 25 December in their own way, but some traditions ...

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 ...

MARANA, Ariz. (KGUN) — Several southern Arizona fire departments are using new technology to tackle hazardous material situations and keep communities safe. The new GX6100 monitor can sense up to ...

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 ...