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 ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

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 ...

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 ...

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 ...

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 ...