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 ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

With help from AI, scientists developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event. Visualizing the potential impacts ...

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 ...

In seconds, this artificial intelligence technology can produce new content responding to prompts Elysse Bell is a finance and business writer for Investopedia. She writes about small business, ...

Visualizing the potential impacts of a hurricane on people’s homes before it hits can help residents prepare and decide whether to evacuate. MIT scientists have developed a method that generates ...