Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

A new study found that an algorithm created by UC San Francisco researchers helped improve the health of thousands of Californians and prevented dozens of deaths. The study, published Wednesday in the ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

SEATTLE -- U.S. Army Corps of Engineers (USACE) officials awarded a $20, 395, 700 contract, Feb. 26, to Knight Construction & Supply Inc., to replace all 11 spillway gates at Albeni Falls Dam, in ...

How Artificial Intelligence is breaking barriers in Autism Diagnosis and Care For any parent, the early years are a most valuable countdown of “firsts” of his or her precious child: the first step, ...

Abstract: Distributed cache is capable of accelerating the process of retrieving an enormous amount of data. In order to optimize the cache performance in distributed environment, we present an ...

Abstract: Proxy web caching is usually employed to maximize the efficiency and utilization of the network and the origin servers while reducing the request latency. However, and due to the limited ...

Faster, more effective knee replacement surgery is now available in a Singaporean hospital with new artificial intelligence algorithm. Developed by Alexandra Hospital in Singapore, the technology has ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.