Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses -- an advance that will ...

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 ...

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.

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, ...

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 - ...

Apple is nearing a deal to acquire engineers and technology from Prompt AI, an early-stage startup focused on computer vision. Prompt's founders include Tete Xiao, an AI researcher with a Phd 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 ...