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 ...

PassGAN is a shortened combination of the words “Password” and “generative adversarial networks.” PassGAN is an approach that debuted in 2017. It uses machine learning algorithms running on a neural ...