Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Google’s TurboQuant cracks the memory-chip cartel — and the hardware-heavy AI thesis now looks like yesterday’s news.
Intel and Nvidia show off how textures -- which take up a large chunk of PC games -- could be compressed to save you money ...
Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...
Alphabet is leading the way in driving down AI costs.
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Did Alphabet just end the AI memory boom?

Memory stocks got hammered this week after Google dropped a research paper that has investors questioning the entire thesis ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...
Abstract: Medical imaging is an important contributor to diagnostic accuracy and monitoring of various health conditions, enabling healthcare professionals to gain valuable insights into the internal ...