Quad/Graphics, Inc. (NYSE:QUAD) is one of the largest marketing companies in the world. The shares are up by 44% over the ...

It wasn't too long ago that analog photography – which uses photographic film and chemical processing – was declared all but ...

Abstract: Modeling real-world scenes, beyond diffuse objects, plays an important role in computer graphics, virtual reality, and other commercial applications. One active approach is projecting binary ...

A spate of agreements Nvidia has reached with South Korean companies presents a long-term road map for the country to expand its role in the semiconductor and physical AI industries, observers say.

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

Advances in graphics and machine learning algorithms have led to the general availability of easy-to-use tools for modifying and synthesizing media. The proliferation of these tools threatens ...

Nvidia has just released new graphics research that it claims can unlock 2-3x performance in certain situations, seemingly without relying on AI. The new research paper uses techniques such as ...

When I was a teenager, I wrote some terrible code. Here's why. Written with Sean Elliott. Directed by Tomek. Graphics by Mooviemakers. Audio mix by Haerther Productions. MORE BASICS: A playlist ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Nvidia revealed DLSS 5 earlier this week, working neural rendering into its AI technology suite for graphics cards. The company claimed that game developers were on board, despite some of the drastic ...

Abstract: Spatiotemporal data fusion is a cost-effective way to produce remote sensing images with high spatial and temporal resolutions using multisource images. Using spectral unmixing analysis and ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...