

Examining questions about optimal fitness, the ultimate coffee beans, and the way to a happier life.
In that way, the research nods to a recently popular machine learning trick called generative adversarial networks (GANs). One network tries to generate a piece of data, like an image, and the other tries to tell if it’s real or A.I. generated. The two networks “argue” back and forth, until eventually the “critic” algorithm is reliably fooled because the generated data is so close to an image taken by a real camera. If you’ve heard of deepfakes or seen incredible A.I.-generated imagery, you’ve seen the work of one of these GANs.