Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

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 researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

Memory chip costs are up as AI companies gobble up the hot commodity. Consumer electronics companies like Dell and HP are raising prices.

At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To ...

Building a model of the phenomenon you’re studying can help you understand how that thing works. Roadmaps are models of the highways and roads between here and there. We use them to predict how we ...