Market demand for Azul driven by enterprise imperatives for performance, cloud cost optimisation, application modernisation and greater control over Java licensing costs Azul, the trusted leader in ...

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

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

An increasing percentage of the chip area is consumed by the same amount of SRAM for each node shrink. The problem is not limited to leading-edge AI, as it will eventually impact even small MCUs and ...

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 | ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Personal computer maker HP Inc. delivered solid fiscal first-quarter results that came in ahead of expectations today, but its stock was dropping in late trading after it provided a disappointing ...

There came a point when Newton Asare realized AI agents weren’t just tools anymore. “They were operating more like teammates,” he told TechCrunch. The realization crystallized when Asare and Kiran Das ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

Abstract: Garbage collection (GC) is a critical memory management mechanism within the Java Virtual Machine (JVM) responsible for automating memory allocation and reclamation. Its performance affects ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...