We propose a novel image super-resolution technique, the Compressive Sensing combined with Generative Adversarial Network model (CScGAN). During the image super-resolution reconstruction process, ...

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 ...

The emergence of generative artificial intelligence (AI) indicates a paradigm shift in military research and application, ...

This article explores how generative chemistry accelerates drug design, identifies novel compounds and complements traditional computational tools.

Amazon's AWS recently lost a key vice president helping oversee generative artificial intelligence development as well as the company's Bedrock service, as the competition for talent heats up.

Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning. This systematic review analyzes GAN applications in ...

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 ...

As AI-generated content becomes more prevalent, ensuring authenticity, ownership, and traceability is increasingly critical ...

US lawmakers have introduced the bipartisan No Adversarial AI Act to block federal agencies from using AI developed by foreign adversaries like China. The bill aims to protect national security ...

The FDA is reviewing clinical trials that send US patients' cells to foreign labs, citing concerns over genetic data security. Learn more about the new regulations.