Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...
NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
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 ...
Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not ...
Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, ...
The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...
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 ...