IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

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

Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

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

Study shows addressing working memory can help students with math difficulty improve word problem-solving skills

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, ...
Medical Xpress

Planning post-stroke care: Calculator predicts six-month memory and thinking problems

Researchers at the University of Oxford have developed a "Stroke Cognition Calculator," a new tool designed to estimate a person's chance of having thinking and memory problems six months after a ...
News Medical

MERLIN algorithm unlocks immune cell location memory in organs

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.
XDA Developers on MSN

TurboQuant tackles the hidden memory problem that's been limiting your local LLMs

A paper from Google could make local LLMs even easier to run.

Nvidia says it can shrink LLM memory 20x without changing model weights

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

Memory prices could leap even higher as the supply of helium, crucial to making chips, is now impacted by the conflict in the Middle East

There's no quick fix to getting hold of ultra-pure helium, either. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.