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

Modern LLMs, like OpenAI’s o1 or DeepSeek’s R1, improve their reasoning by generating longer chains of thought. However, this ...

Big artificial intelligence models are known for using enormous amounts of memory and energy. But a new study suggests that ...

Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...

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.

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

An Osaka Metropolitan University research team conducted a study that proposes a transparent multi-task framework that combines a multi-slot user memory with a dynamic gating network to jointly ...