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 ...

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. Goodfellow came up with the idea of a new technique in which different neural ...

Artificially extracted agricultural phenotype information exhibits high subjectivity and low accuracy, while the utilization of image extraction information is susceptible to interference from haze.

Artificial intelligence is no longer confined to data crunching and automation; it's making profound inroads into the creative industries. Generative models like generative adversarial networks (GANs) ...

So, it isn’t surprising that many of them are cautious or distrustful about the impact generative AI will have on their professional lives. However, like writers, architects, and other creative ...

I can’t tell you for sure if we have reached peak GAN, but there are far more people messing around with them than there were a year ago, and that’s a great thing. Two undergraduates at Williams ...

Behind generative AI’s push into mainstream use are thousands of inventions and applications, many protected by a growing number of patents. In 2024 alone, 51,000 generative AI patents were filed, and ...

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 ...