The endless sequence of AI-crafted faces is produced by a generative adversarial network (GAN)—a type of AI that learns to produce realistic but fake examples of the data it is trained on.

A couple of years back TNW reported on a new generative adversarial network (GAN ... a human face – while another set (a judge) tries to determine if it’s a real image or a fake one.

But one area where progress is as plain as the nose on your AI-generated face ... GAN architecture to create these images. Take a look at the pictures below. If you didn’t know they were fake ...

That's because it's easy to just go online and download a fake face, instead of stealing a photo ... as a generative adversarial network, or GAN. It's been around since 2014, but has gotten ...

Computers are getting better at dreaming up “deepfakes” — photorealistic human faces created using a technology called a generative adversarial network, or GAN. The technology is giving ...

When training finishes, a good Generator will fool the Discriminator about half the time, which means the Discriminator cannot easily distinguish a fake image from a real image. There are many ...

Earlier this month you may have seen a website named ThisPersonDoesNotExist.com doing the rounds, which uses AI to generate startlingly realistic fake faces ... network (or GAN for short) to ...

That's because it's easy to just go online and download a fake face, instead of stealing a photo ... created by an AI technology known as GAN. The fakes have been used to push Russian and Chinese ...