Google’s TurboQuant Compression Could Increase Demand For AI Memory

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google is making it easier to import another AI’s memory into Gemini

New tools in Gemini give users prompts to quickly copy over everything their previous chatbot knows about them.
Decrypt

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

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

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.
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...
9to5Google

Gemini now lets you import chats and memory from other AI apps

Besides Gemini 3.1 Flash Live today, Google is rolling out the ability to import memory and chats into Gemini from other AI ...

Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.