Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by ...

Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field ...

SEATTLE--(BUSINESS WIRE)--Ai2 (The Allen Institute for AI) today announced Molmo 2, a state-of-the-art open multimodal model suite capable of precise spatial and temporal understanding of video, image ...

Toshiba Corporation and MIRISE Technologies have demonstrated the first deployment of a quantum‑inspired optimization computer on an autonomous mobile robot.

The invention 'Deep-learning method for multi-object tracking from video' was granted a utility patent by the United States Patent and Trademark Office (USPTO).

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

New open models unlock deep video comprehension with novel features like video tracking and multi-image reasoning, accelerating the science of AI into a new generation of multimodal intelligence.