Micron's stock bounces, as an analyst offers a reality check on the recent panic

Micron Technology shares were on pace to snap a six-session losing streak Friday, with an analyst likening the recent market freakout over memory stocks to last winter's DeepSeek saga that ultimately ...

Google says its new algorithm reduces AI memory overhead by 6x which could be good news for the RAMpocalypse but bad news for Micron and co

Stock prices for the big three memory makers have already slid.

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Google’s TurboQuant algorithm aims to slash AI memory usage.

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.” [ ...

A Google AI breakthrough is pressuring memory chip stocks from Samsung to Micron

Alphabet 's Google on Tuesday unveiled TurboQuant, a new compression method that it says could reduce the amount of memory ...

Inside the $31.5M social assistance algorithm failing Quebec’s most vulnerable

A year after the deployment of a new social assistance algorithm, a Radio-Canada investigation reveals a system that ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Purdue University

Brain-inspired AI hardware helps autonomous devices operate efficiently and independently

Brain-inspired AI-hardware mimics neural efficiency to cut energy use, enabling autonomous devices to navigate, adapt and make real-time decisions independently.

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 ...
STAT

Removing race from kidney function algorithm helped more Black patients access transplants

Anil Oza is a general assignment reporter at STAT focused on the NIH and health equity. You can reach him on Signal at aniloza.16. Several years ago, nephrologists attempted a first-of-its-kind effort ...