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 ...

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.

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 ...

AI's insatiable appetite for memory chips is crowding out all other buyers — and the consequences will ripple through every industry and household.

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 ...

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 ...

MSI launches $85,000 XpertStation WS300 with Nvidia GB300 Ultra and massive memory that redefines local AI performance ...

A new study reveals that the memory for a specific experience is stored in multiple parallel 'copies'. These are preserved for varying durations, modified to certain degrees, and sometimes deleted ...

Scientists at the Faculty of Medicine and Surgery of Catholic University, Rome, and the Fondazione Policlinico Universitario Agostino Gemelli IRCCS have genetically modified a molecule, the protein ...