Leveraging Large Language Models for Graph Learning: Opportunities, Current Progress, and Future Directions

This article reviews why large language models can be applied to graph learning, outlines their capabilities and graph data characteristics, surveys current research across different graph types and LLM roles, and proposes future research directions for unified cross‑domain graph learning.

AIResearch Directionsgraph learning

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Leveraging Large Language Models for Graph Learning: Opportunities, Current Progress, and Future Directions

Architects' Tech Alliance

Jan 16, 2023 · Fundamentals

Overview and Research Directions of Storage Class Memory (SCM)

This article introduces Storage Class Memory (SCM), a non‑volatile memory technology faster than NAND but slower than DRAM, outlines its main types such as PCM, ReRAM, MRAM and NRAM, and discusses eight research topics ranging from system organization to security and software optimization.

Non-volatile MemoryResearch DirectionsSCM

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Overview and Research Directions of Storage Class Memory (SCM)

Architects' Tech Alliance

Jul 11, 2021 · Industry Insights

Unlocking the Future of Storage: SCM Technologies and Research Roadmap

Storage Class Memory (SCM) bridges the gap between DRAM and NAND by offering non‑volatile, near‑DRAM speed, and the article surveys major SCM types—PCM, ReRAM, MRAM, NRAM—examines their characteristics, and outlines nine research challenges ranging from system architecture to data reliability and security.

HardwareMemory ArchitectureNon-volatile Memory

0 likes · 15 min read

Unlocking the Future of Storage: SCM Technologies and Research Roadmap