How South Korea is using AI, algorithms and automated surveillance to detect crypto market manipulation faster and at a ...

Researchers at The University of Manchester have developed a new way to design Earth-observation satellite missions that could help protect the space environment while continuing to deliver vital data ...

A multinational team of researchers has unveiled a new safety system for autonomous machines ...

Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal missions prevent Kessler syndrome and protect orbiting spacecraft.

Abstract: Probabilistic collision detection (PCD) is essential in motion planning for robots operating in unstructured environments, where considering sensing uncertainty helps prevent damage.

The system, called ‘Vision Pulse’, relies on ultra-wide band (UWB) signals to identify nearby objects and warn motorists when ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Abstract: Small- and medium-sized craters (SMCs) play a key role in the field of deep space exploration, whose detection and measurement face problems such as fringe blurring and low contrast due to ...

The safe and efficient collision avoidance of multiple ships is essential for maritime navigation and intelligent shipping systems. In this paper, we propose a novel COLREGs-compliant multi-ship ...