Google has introduced its TurboQuant AI algorithm, which aims to improve memory efficiency for AI models and is prompting ...

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

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

Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...

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 ...

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

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 ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

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

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 ...