Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

Dynamic Random Access Memory (DRAM) remains a central element in computing architectures, but its intrinsic vulnerabilities and power demands have spurred a wealth of research focused on enhancing ...

Dynamic random access memory (DRAM) remains a cornerstone of modern electronic systems, enabling rapid data storage and retrieval. Recent developments have focused on capacitorless designs – notably ...

What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...

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 ...

The lightweight allocator demonstrates 53% faster execution times and requires 23% lower memory usage, while needing only 530 lines of code. Embedded systems such as Internet of Things (IoT) devices ...

Ferroelectric quantum dots enable phototransistors that adapt to low light and store visual memory, supporting motion recognition and in-sensor learning in neuromorphic systems. (Nanowerk Spotlight) ...

You don't have to be a trivia buff to be great at remembering things. Monica Thieu, a four-time Jeopardy! contestant and winner of the game's 2012 college ...