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

Singapore has one of the highest life expectancies in the world, yet many individuals spend almost a decade in poor health ...

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 ...

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 ...

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 ...

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.

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 ...

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

To cope with the memory bottlenecks encountered in AI training, high performance computing (HPC), and other demanding applications, the industry has been eagerly awaiting the next generation of HBM ...

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

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