Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

A new AI-based method reconstructs spatial information about where immune cells were originally located in an organ, even after these cells have been removed from the tissue and analyzed individually.

The AI hardware boom is sending memory prices sky-high, so knowing exactly how much you need is more critical than ever. I've worked out the most realistic RAM goals for every type of PC. I’ve been a ...

It’s common for people with bipolar disorder to have memory problems, caused by a variety of factors. So it’s important to know the reason for yours. I once wrote a blog post called “Do People ‘Black ...

A global shortage in memory chips sparked by artificial intelligence has dealt a “tsunami-like shock” to the smartphone industry, pushing prices to all-time highs, according to a new report. A ...