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.
PCMag on MSN

Can Google's AI memory compression algorithm help solve the RAM crisis?

With TurboQuant, Google promises 'massive compression for large language models.' ...
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 ...
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 ...
Computerworld

Chip wafer shortage will run through 2030 as AI demand overwhelms supply: SK Hynix chief

The global shortage of semiconductor wafers will not ease before the end of the decade, SK Group Chairman Chey Tae-won said, delivering one of the most definitive long-range forecasts yet from the ...
Fred Hutch

Coping With Side Effects

Most patients will experience some side effects from their treatment, but great progress has been made in treating or minimizing many of them. If you are experiencing side effects, please make sure to ...