NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and real-time decompression on GPUs, directly targeting the growing strain that ...
The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
The emergence of layer-by-layer robotic depalletizing in Walmart DCs is exposing a new failure mode, sustained horizontal ...
Alphabet's recently announced memory compression technology has spooked investors in Micron, Sandisk, and Seagate, but they ...
Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in a preprint, could cut VRAM use by up to 85% for certain material-texture ...
Carlisle Companies is positioned for strong growth, driven by aging U.S. commercial roofs and stricter energy standards. Find ...
Tesla's risks include stronger robotaxi execution from Waymo and Baidu, EV price pressure from BYD, and capital intensity ...
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
With Formula 1 forced to cancel two rounds shortly after the start of the new season, our reporters attempt to assess how ...