The key to moving the accuracy needle for facial recognition was to use a new method that looks at a person's attributes and poses.

Eventually, facial recognition technology will evolve to the point where it makes few mistakes. That's where the real concerns are.

High accuracy scores come from conditions that don't reflect real-world usage Facial recognition technology has been deployed publicly on the basis of benchmark tests that reflect performance in ...

The accuracy of facial recognition systems has improved dramatically in recent years, though limitations remain. This post explores how accuracy improvements are changing the risks associated with ...

Psychology researchers from Glasgow University have just announced that they’ve developed a facial recognition algorithm that’s 100% accurate in their testing.

With these safeguards, facial recognition can be part of building smarter, safer and more equitable communities, without ...

Everything we know about the face recognition systems the FBI and police use suggests the software has a built-in racial bias. That isn’t on purpose—it’s an artifact of how the systems are ...

Federal study shows face recognition accuracy varies by gender and race It's not definitive proof of bias, but there are reasons for concern.