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 ...

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 ...

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 ...

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 digital landscape is constantly evolving, and with it, the need for businesses to keep pace with technological advancements. One of the most significant challenges organizations face is ...

TEL AVIV, Israel, Jan. 16, 2024 /PRNewswire/ -- RADCOM Ltd. (NASDAQ: RDCM) announced today NetTalk - Generative AI (GenAI) applications that are part of its RADCOM ACE portfolio, enabling operators to ...

Computers are getting better at dreaming up “deepfakes” — photorealistic human faces created using a technology called a generative adversarial network, or GAN. The technology is giving propagandists ...

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can ...