Researchers have developed a new method for systematically identifying bugs in aircraft collision avoidance systems, high-speed train controls and other complex, computer-controlled devices, ...

Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

Ilan’s Department of Computer Science, led by Dr. Dvir Samuel and Prof. Gal Chechik (also of NVIDIA), has developed OmnimatteZero, a new method for separating objects from video backgrounds without ...