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

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

However, Alphabet's latest breakthrough may have changed that notion, which has triggered a sell-off in Micron 's ( MU 0.49%) ...

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it ...

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

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 ...

A paper from Google could make local LLMs even easier to run.

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

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 ...

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 ...

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 ...