As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

An international collaborative research team has discovered that G-quadraplex DNA (G4-DNA) accumulates in neurons and dynamically controls the activation and repression of genes underlying long-term ...

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 ...

That’s a nine-fold expansion in four years. No segment in chip history has ever scaled that fast at that size. By 2026, memory alone is projected to reach $550 million to $570 billion — roughly 55% to ...

A SoftBank subsidiary has signed a collaboration agreement with Intel to commercialize "next-generation memory technology." ...

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 ...

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 ...

The memory shortage risks becoming a broader supply-chain problem. Unlike the pandemic-era chip crunch, which was driven largely by logistics and temporary disruptions, today’s shortage stems from a s ...