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 ...

Perhaps you've read about AI capable of producing humanlike speech or generating images of people that are difficult to distinguish from real-life photographs. More often than not, these systems build ...

What is a Generative Adversarial Network (GAN)? Generative Adversarial Networks, or GANs, are a type of deep learning model made up of two neural networks that are essentially in a creative face-off.

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 ...

The GANs market is poised for significant growth, driven by AI adoption and advancements in neural networks. Key ...

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 ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles real data. Since its inception in 2014 with Ian Goodfellow’s ‘Generative ...