Machines are good at spotting obvious emotions like smiles, but they're not so hot at detecting the extremely brief microexpressions that reveal when people are covering up their true feelings. They ...

Researchers at Stanford University have created a computer vision algorithm that can analyse an unknown image and describe it using words and phrases. While previous computer vision algorithms have ...

We’ve long known that our digital cameras and smartphones can take incredibly detailed images, but taking pictures is not quite the same thing. For the past half-century, computer scientists have been ...

In 1991, Microsoft founder Bill Gates put up his company’s specialized research arm The aptly named Microsoft Research was to be the vehicle to fulfill Gates’ “vision that computers would one day see, ...

Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

Robots are reliable in industrial settings, where recognizable objects appear at predictable times in familiar circumstances. But life at home is messy. Put a robot in a house, where it must navigate ...

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 ...