Researchers from the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), letting large language ...
Modern LLMs, like OpenAI’s o1 or DeepSeek’s R1, improve their reasoning by generating longer chains of thought. However, this ...
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, ...
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 ...
AI memory is limited. Users have to re-explain per chat and application switching is becoming difficult. User-owned and ...