Ouster, Inc. (Nasdaq: OUST) (“Ouster” or the “Company”), a leader in sensing and perception for Physical AI, announced today that on February 4, 2026 it ...

The automotive night vision system market growth is supported by stricter pedestrian safety norms, expanding deployment of advanced driver-assistance systems, and declining sensor costs enabling wider ...

The Hyundai Group, with its automotive brand Kia, is working on perfecting assisted driving and is introducing its system ...

By localizing AI training and autonomy, Egypt is reducing Western dependence and challenging Israel’s ability to predict its military evolution.

MatrixSpace updates AI Software Platform: multi-sensor, real-time counter-drone detection with unified edge-to-cloud threat assessment.

Raytheon was selected by DARPA to develop a detection and targeting system using EO/IR sensors and tethered drones to protect ...

New edge-to-cloud software layers fuse radar, Remote ID, ADS-B and optical feeds into a single, real-time low-altitude airspace picture for C-UAS operators.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Researchers in Germany have developed smart autonomous drones and robots that can locate radioactive material in minutes ...

Chemical, biological, radiological, nuclear and explosive substances (CBRNE substances for short) can pose a threat to the ...

Cameras capture high-quality images around cars to detect lane markings, speed limits, turn signals, pedestrians and more. Sophisticated algorithms analyze images taken by cameras to determine the ...

Radioactive, chemical or biological substances are undetectable to humans in threatening situations and difficult to detect with remote sensing. Researchers at the Fraunhofer Institute for ...