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? 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 ...

Generative Adversarial Networks (GANs) are a class of deep learning models that learn to produce new (or pseudo-real) data. Their advent in 2014 and refinement thereafter have led to them dominating ...

Continuing the theme of innovation and ethics in AI, we asked Jakub Langr, a regular guest lecturer at the University of Oxford on GANs and a member of the Brainpool.ai global network of data ...

In late February 2019 the AI world enjoyed a viral moment when a machine learning framework was used to create a website called “this person does not exist”. Created using generative adversarial ...

Generative adversarial neural networks are the next step in deep learning evolution and while they hold great promise across several application domains, there are major challenges in both hardware ...

The volume of technical papers released on the topic of machine learning and GANs is daunting. It has taken us months to feel comfortable with many of the fundamental ideas and terminology and we have ...