Insider New facial recognition algorithm is so smart it doesn’t need to see your face August 8, 2016 - 8:36 pm Facial recognition already posed serious problems for privacy advocates.

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

Facial-recognition algorithms from Los Angeles startup TrueFace are good enough that the US Air Force uses them to speed security checks at base entrances. But CEO Shaun Moore says he’s facing a ...

A new study shows the accuracy of facial recognition algorithms has markedly improved over the past three years, though one of the report's authors suggests they're ...

“With this new version our development team focused on face recognition in real-world, unconstrained environments,” said Dr. Justas Kranauskas, project lead for Neurotechnology. “We achieved a ...

Coronavirus face masks can confuse facial recognition technology, government researchers announced Monday after a preliminary study on the issue. Facial recognition algorithms developed before the ...

The algorithms are bad — Facial recognition software has been widely criticized for its poor accuracy without masks, with the software misidentifying people of color disproportionately often.

The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm." A branch of the office, which ...

New research suggests face masks are hampering facial recognition systems. The algorithms never accounted for a pandemic.

Face masks are already known to stop the spread of coronavirus. Apparently, they can also make it much harder for facial-recognition software to identify you, too.