With the rise of AI coding assistants continuing apparently unabated, some project maintainers have begun striking back. Ars Technica reports on projects putting hostile directions into the ...

Every compression scheme faces a paradox: the more precisely you tailor a code to your data, the harder it becomes to share ...

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

Efforts to advance quantum computing are also raising the bar for classical computing – showing that these conventional ...

Abstract: Compression is a widely-deployed optimization that reduces data movement throughout modern computing stacks. Unfortunately, it is also a well-known source of side-channel leakage capable of ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

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 ...