Embedded systems such as Internet of Things (IoT) devices and single-board computers require careful memory allocation management. In a recent breakthrough, SeoulTech researchers have proposed ...

This paper presents MemoNet, a memory-efficient data allocation strategy for convolutional neural networks on 3D PIM architecture. MemoNet offers fine-grained parallelism that can fully exploit the ...

Currently, TMO enables transparent memory offloading across millions of servers in our datacenters, resulting in memory savings of 20%–32%. Of this, 7%–19% is from the application containers, while ...

Processing-in-memory (PIM) is a promising solution to address the "memory wall" challenges for future computer systems. Prior proposed PIM architectures put additional computation logic in or near ...

Discover how to fix Claude Code’s memory issues with smarter strategies, boosting productivity and accuracy in AI-assisted coding.

Clear and concise description of the problem Please correct me if I'm wrong in any point Looks like AIRI currently lacks a memory system for RAG. The existing DuckDB setup seems to only only create ...

The new memory architecture is designed to offer a space where large databases, molecular modeling algorithms and AI agents can meet, like a chat room, to exchange information in real time and ...

With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software ...

Netflix replaced a CQRS implementation using Kafka and Cassandra with a new solution leveraging RAW Hollow, an in-memory object store developed internally. Revamped architecture of Tudum offers ...

Huawei unveils UCM, a memory management tool that boosts AI inference speed and reduces reliance on HBM, set to open source in September 2025.