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NeurDB: an AI-powered autonomous data system

  • Beng Chin Ooi
  • , Shaofeng Cai
  • , Gang Chen
  • , Yanyan Shen
  • , Kian Lee Tan
  • , Yuncheng Wu
  • , Xiaokui Xiao
  • , Naili Xing
  • , Cong Yue
  • , Lingze Zeng
  • , Meihui Zhang
  • , Zhanhao Zhao*
  • *此作品的通讯作者
  • National University of Singapore
  • Zhejiang University
  • Shanghai Jiao Tong University
  • School of Information

科研成果: 期刊稿件文章同行评审

摘要

In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems. The imminent fusion of AI and DB (AI×DB) promises a new generation of data systems, which will relieve the burden on end-users across all industry sectors by featuring AI-enhanced functionalities, such as personalized and automated in-database AI-powered analytics, and self-driving capabilities for improved system performance. In this paper, we explore the evolution of data systems with a focus on deepening the fusion of AI and DB. We present NeurDB, an AI-powered autonomous data system designed to fully embrace AI design in each major system component and provide in-database AI-powered analytics. We outline the conceptual and architectural overview of NeurDB, discuss its design choices and key components, and report its current development and future plan.

源语言英语
期刊论文编号200901
期刊Science China Information Sciences
67
10
DOI
出版状态已出版 - 10月 2024

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