Radar detectors have been part of American driving culture for decades. When radar guns became common in the 1950s and 60s, drivers quickly started looking for ways to know when an officer was ...
Salt Lake City, Utah-based festival Kilby Block Party have announced their 2026 lineup and as usual it’s packed with Under the Radar favorites. The lineup includes The xx, Magdalena Bay, Japanese ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
Quantum radar is an emerging technology that exploits the strange phenomenon of quantum entanglement to detect objects that would be invisible to conventional radar systems. By sending out pairs of ...
Block Inc., operating as CashApp, was hit with a lawsuit on Sept. 24 in California Northern District Court over alleged violations of the Electronic Funds Transfer Act. The action, brought by Barthel ...
SAN LUIS OBISPO, Calif. (BRAIN) — Lezyne has unveiled a new front and rear LED bike light system featuring vehicle detection radar technology and built-in visual and audio alerts. Like other radar ...
Microsoft has removed a compatibility hold that prevented devices with integrated cameras from installing Windows 11 24H2 due to a face detection bug causing app freezes. The issues were triggered ...
The restored Forsyth Park fountain basin is scheduled to be reinstalled on September 16. About 100 volunteers helped beautify homes in East Savannah as part of the city's "912 Day" events. Chatham ...
As part of its unprovoked invasion, Russia has been firing massed waves of drones and missiles into Ukraine for years, though the tempo has been raised dramatically in recent months. Barrages of ...
A recent test in China has highlighted what may be the world’s first AI-powered radar system for a military aircraft. Early reports suggest the experimental system demonstrated exceptional performance ...
The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...
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