Growing demand for AI infrastructure is putting pressure on the PC industry, with higher memory costs threatening to reduce ...

Background running apps could be the cause for the high CPU usage and system unresponsiveness. Learn how to control hidden background apps in Linux.

Abstract: To meet the energy efficiency demands of future applications, system-on-chip (SoC) designs continue to march towards ultra-low-voltage operation. This tutorial will address the fundamental ...

Law Prep Tutorial secures AIR-1 in both CLAT 2026 and AILET 2026. An inside look at the systems, mentorship, mock strategy, and performance-led preparation behind this historic result.

We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation. LEGOMem decomposes past task trajectories into reusable memory ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...

Modern computers increasingly use multiple types of memory—often a small, fast tier for immediate tasks and a larger, slower tier for high-capacity storage. Managing where data lives across these ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...