The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

At the RiSE group at Microsoft Research (MSR), we conduct fundamental research into formal methods, programming languages, and software engineering (including emerging agentic systems), with a ...

Hollywood loves a superpower. Not all involve capes or cosmic rays. Some are cognitive: characters who can remember everything. In movies and on TV, viewers repeatedly encounter those with ...

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 ...

The cost of high-performance GPUs, typically $8,000 or more, means they are frequently shared among dozens of users in cloud environments. Three new attacks demonstrate how a malicious user can gain ...

One analyst says the dramatic selloffs in memory stocks mean investors can score bargains Micron's stock has been at the center of fears rocking the memory-chip market. Micron Technology shares ...

In a blog post published last week, Google announced that its scientists had developed an AI memory-compression algorithm, dubbed TurboQuant. "We introduce a set of advanced, theoretically grounded ...

Micron Technology (NASDAQ:MU | MU Price Prediction) stock is falling 5% in early trading on Monday, trading around $339 after opening at $357.22. That move extends a rough stretch: MU stock has fallen ...

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 ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...