NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...

Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

If you read this site, chances are pretty good that you've probably played around with a neural image upscaler at some point. These programs, like the popular "waifu2x", use a pre-trained neural ...

Something to look forward to: High-resolution textures are a primary factor behind the growing install sizes and VRAM usage in modern blockbuster games. Nvidia proposed a neural-network-based method ...

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

The steady rise in global energy consumption is causing a rapid depletion of fossil fuel resources. Since fossil fuels take thousands of years to replenish, there is an urgent need to determine ...

This press release is available in Spanish. The study, which was carried out by Eduardo Martinez Enrique and Fernando Díaz de María, of UC3M's Department of Signal Theory and Communications and ...