A study published last November in Science confirmed what many observers of digital politics have long suspected: feed ...

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

MaxLinear, Inc. (NASDAQ: MXL), a leading provider of high-performance storage accelerator SoCs, and Los Alamos National ...

Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...

Don't waste your NAS' potential ...

Although most people have fast internet access nowadays, sending large files and amounts of data remains a problem. This is because free e-mail services such as Outlook.com or Gmail limit the data ...

Google engineers have developed a method to compress artificial intelligence (AI) data so that it requires up to six times less working memory to function. With the new system, called TurboQuant, AI ...

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...