Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
Pruna AI, a European startup that has been working on compression algorithms for AI models, is making its optimization framework open source on Thursday. Pruna AI has been creating a framework that ...
Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, ...