Achieving diversity in human vision is one of the major challenges for AI research. In the vast majority of cases, we are better than machines at understanding the world around us. But machines ...

Called RisingAttacK, the method is effective at manipulating all of the most widely used AI computer vision systems.

The output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications ...

Human-surveillance technologies have advanced in the past few years with the rapid development of artificial intelligence (AI ...

“Where computer vision comes to play, especially with what we’ve seen at Roboflow, is a little over 100,00 developers now have built with our tools over 10,000 pre-trained models using more ...

The amount of visual data in the world—and on the web—grows exponentially every day. This is thanks in part… ...

The involvement of computer vision in smart transportation optimizes several facets of smart cities and will continue to do so in the future. The public sector, in collaboration with private tech ...

“Computer vision systems use a huge amount of energy, and that’s a bottleneck to using them widely. Our long-term goal is to use biomimicry to tackle the challenge of dynamic imaging with less data ...

“There’s going to be more and more AI agents online — and sometimes you want to prove that you’re a human,” said Anthonioz as his beagle, Tixi, waited patiently. (There is not yet a ...

But some of the most compelling applications of computer vision are the ones that deliver real human outcomes—solutions that tap into visual technologies to make life better, safer, and more ...

A recently published study has revealed a powerful technique capable of undermining some of the world’s most widely deployed ...

V7’s focus today is on computer vision and automatically identifying and categorizing objects and other data to speed up how AI models are trained. V7 says it needs just 100 human-annotated ...