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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

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.