Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It’s no secret that AI is everywhere, yet it’s not always clear when ...

For humans, identifying items in a scene — whether that’s an avocado or an Aventador, a pile of mashed potatoes or an alien mothership — is as simple as looking at them. But for artificial ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified ...

While computer vision is implemented in the manufacturing and automation industry for navigation and inspection, the technology has a long way to go before being deployed to its full potential use.

But to a computer, this image—like all images—is an array of pixels, numerical values that represent shades of red, green, and blue. One of the challenges computer scientists have grappled with since ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Over time, human ...

It turns out that something most humans take for granted—the ability to see, process and then act on visual input—is extraordinarily difficult to replicate in machines. That’s precisely what computer ...