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.
A team from the University of Barcelona has designed and validated in animal models an innovative compound with a pioneering ...
Working memory is a cognitive function that is essential for carrying out everyday activities and temporarily retaining ...
Memory-based Small Language Models deployed across virtualized, highly distributed telecommunications networks achieve ...
Phison Electronics (8299TT), a global leader in NAND flash controllers and storage solutions, today announced its GTC ...
Nvidia introduced the DGX Station at GTC 2026, a desktop supercomputer with 20 petaflops of AI performance and 748GB of ...
The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all 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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results