A team of researchers from leading institutions including Shanghai Jiao Tong University and Zhejiang University has developed what they're calling the first "memory operating system" for ai, ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...

A new technical paper titled “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads” was published by researchers at Illinois Institute of Technology. “In this work, ...

Memory Bank is a response to the challenges posed by traditional AI memory systems. Stateless models, while effective for single-session tasks, are inherently limited in their ability to maintain ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. This is my fourth and last blog on digital storage and memory projections for 2026 The first ...

Non-volatile memory (NVM) systems represent a transformative shift in data storage, blending the speed of conventional memory with the endurance of persistent storage. These systems enable data to ...

Huawei has officially launched its new AI inference framework, Unified Cache Manager (UCM), following earlier reports about the company’s plans to reduce reliance on high-bandwidth memory (HBM) chips.

As part of CRN’s 2025 Storage 100, here are 10 vendors storage component vendors taking their offerings to new heights. The features, capabilities and services offered by storage systems and by ...

In the discipline of electrical engineering, particularly within high-voltage power systems and modern energy networks, there is one principle that remains constant: no system can operate efficiently ...