Nvidia's artificial intelligence (AI) chips still require massive amounts of specialized memory, and TurboQuant does very ...

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

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

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 ...

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 ...

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can ...

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 ...