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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 ...

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.

In natural ecosystems, soundscapes are made up of animal sounds, environmental noises, and human activity. Because different animals vocalize at different times and frequencies, researchers can study ...

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 ...

The field of artificial intelligence (AI) is fast-moving, and new breakthroughs are regularly made. One of the more recent terms rising to prominence is Generative Adversarial Network (GAN) – but what ...

Generative adversarial networks, or GANs, are deep learning frameworks for unsupervised learning that utilize two neural networks. The two networks are pitted against each other, with one generating ...