What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. Moments of epiphany tend to come in the unlikeliest of circumstances. For Ian ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

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 propagandists ...

Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...

Nvidia has created the first generative network capable of creating a fully functional video game without an underlying game engine. The project was begun to test a theory: Could an AI learn how to ...

We officially can no longer trust anything we see on the internet. From whole-body deep fakes to AI-based translation dubbing, technology is starting to distort reality — all with the help of machine ...