Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...
Study on gunshot detection tool did not look at gunshots. Questions are being raised about a University of Chicago study ...
Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
Scientists at UC Berkeley say the technology, which was trained to recognize gases released by food, could one day be built ...
Company Outlines Strategy to Position OneTestâ„¢ as the First Affordable, Multi-Cancer Early Detection Blood Test for Earlier Stage ...
Pano AI is revolutionizing wildfire detection with AI-powered cameras and human oversight, protecting communities across 17 ...
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
The Soviet PFM-1, also known as the butterfly mine for its winged shape, was designed with chilling precision. Dropped from ...
Abstract: Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.