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

Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...

NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.

For the past five years, the cost of test has prevailed as the hottest topic in test. During this period, automated test equipment (ATE) has made a dramatic move towards low-cost design for test (DFT) ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

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 ...

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

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

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 ...