At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To ...

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...

Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when ...

What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

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

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...