It won't turn a blurred face from CCTV into a high-res image of a real person, for example. It fills in gaps to make faces that look "plausibly real," but generates people who don't actually exist.

Once it differentiates between the two, it can blur on out to produce the desirable bokeh effect you get with professional DSLR camera with a low-aperture lens. Facebook’s camera can produce a ...

Researchers Blur Faces That Launched a Thousand Algorithms Managers of the ImageNet data set paved the way for advances in deep learning. Now they’ve taken a big step to protect people’s privacy.

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

Tech giant admits privacy attempt may have been a bit "overzealous." — -- Photos of a particularly "moo-dest" cow, whose face was blurred in Google Street View, have gone viral on social ...

The researchers said only 10 fully-visible examples of a person's face were needed to identify a blurred image with 91.5 per cent accuracy. With an average of just 1.25 tagged images, the system ...

When an editor at The Guardian found the blurred face this week, he took a screenshot and shared it on Twitter, much to the Internet's delight. Sponsor Message.

Simon Fraser University researchers show how AI can be used to improve use of 'blurred face' technology in cases where anonymity in news reporting is needed.