The Debrief

DARPA Launches TBD2, the First Deep-Space Surveillance Network to Track Tiny Objects Millions of Miles From Earth

DARPA’s TBD2 program aims to track tiny spacecraft across deep space, creating the first wide-area surveillance of the ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

In the 6G era, 5G towers may become all-seeing sensors tracking people and objects

ISAC is a game changer in the 6G era. It is a foundational technology that will enable communications networks to evolve ...
JSTOR Daily

A new multi-scale backbone network for object detection based on asymmetric convolutions

Real-time object detection on mobile platforms is a crucial but challenging computer vision task. However, it is widely recognized that although the lightweight object detectors have a high detection ...
FLYING Magazine on MSN

Could a Community Drone Detection Network Bolster Airspace Safety?

SkySafe on Tuesday unveiled FliteGrid, a nationwide, community-powered drone detection network akin to Wingbits. Anyone can ...
Tech Xplore on MSN

Artificial sensory neuron enables high-precision, multi-color, near-infrared object recognition

Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.