Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...

A landmark head-to-head study finds that a YOLOv3 image detector outperforms point-cloud-native and modular machine learning ...

Machine learning models that power highly automated driving, medical systems, and aviation are only as good as the data and ...

WASHINGTON, DC, UNITED STATES, October 29, 2026 / EINPresswire.com / — Video infrastructure is approaching an architectural turning point as artificial intelligence applications increasingly rely on ...

MENLO PARK, CA / ACCESS Newswire / October 28, 2026 / Dr. Amarjot Singh (born November 7, 1987, in Batala, India) is an artificial intelligence researcher and the founder and CEO of Skylark Labs, a ...

Many buildings and sites tied to national security rely on cameras and sensor networks to detect people and other objects ...

Company delivers technical data reports on the development of new AI datasets to detect foreign object debris/damage on ...

Art theft is a global problem and police forces are struggling to keep on top of it. Now they are turning to AI software that ...

From historical ectoplasm photographs to AI-enhanced video, convincing details can come from a model rather than a camera.

Team NimbRo’s robot in action during the RoboCup@Home competition at RoboCup 2026. Raphael leads the team. Raphael ...