In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Generative AI brings opportunities, but protecting your sensitive information must remain a top priority, so choosing the ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...

Dive into how generative AI models work, what they can and can’t do, and the implications of all these elements.

Generative adversarial networks (GANs) are a powerful tool for synthesizing realistic images, but they can be difficult to train and are prone to instability and mode collapse. This paper proposes a ...

Explore Generative Adversarial Networks (GANs) with our concise guide. Understand their core concepts, architecture, types, and training methods. Learn about their evolving role in advancing AI ...

To address the abovementioned problems, we propose a generative adversarial network (GAN) by combining the advantages of the swin transformer and convolutional layers, called SWCGAN. It is different ...