What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...

Computer vision startup Matrice.ai Inc. said today it has closed on a strategic expansion of its seed funding round, adding to the original investment it first disclosed in May. It didn’t disclose the ...

As injuries persist despite strong safety programs, employers are turning to AI and computer vision to detect unseen risks, prevent incidents, and make safety a strategic advantage. Safety leaders ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--(Embedded Vision Summit, booth #518)-- Plainsight, the leader in automated infrastructure for data-centric AI pipelines, today announced the launch of OpenFilter, ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Imaging research in the popular field of computer vision almost always involves analysing humans and their environments, and most of the subsequent patents can be used in surveillance technologies, a ...

Meta AI glasses combine advanced computer vision, voice AI, and an innovative in-lens display with neural band control, transforming how users see, hear, and interact with the world. Ray-Ban - ...

PALO ALTO, CA, Dec. 17, 2025 (GLOBE NEWSWIRE) -- Cloudastructure, Inc. (CSAI) (“we,” “us,” “our,” “Cloudastructure” or the “Company”), a leader in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...