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

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

Demis Hassabis (DeepMind CEO) and other AI leaders sees the next big AI gains—and the path to AGI—will come from targeted ...

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 ...

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 ...

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 ...

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

Google’s TurboQuant cuts AI memory use by 6x and speeds up inference. But will it cause DRAM prices to drop anytime soon? Let ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on during inference. In a preprint, the team reports up to six times lower KV ...

Raspberry Pi unveils 3GB Pi 4 at $83.75 and announces price hikes for higher-memory Pi 4, Pi 5, and Compute Modules due to ...