Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

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 ...

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 ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

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 ...

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...

Brain researchers long knew that the model for studying memory oversimplified the complex processes that the brain uses to decide what to keep and for how long. A new study demonstrated “a cascade of ...

Researchers at Baylor College of Medicine, the University of Cambridge in the U.K. and collaborating institutions have shown that serotonin 2C receptor in the brain regulates memory in people and ...