NeurDB: An AI-powered Autonomous Data System
<|reference_start|>NeurDB: An AI-powered Autonomous Data System: 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 (AIxDB) 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, self-driving capabilities for improved system performance, etc. 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.<|reference_end|>
@article{ooi2024neurdb:,
    title={NeurDB: An AI-powered Autonomous Data System},
    author={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},
    journal={SCIENCE CHINA Information Sciences 67, 10 (2024)},
    year={2024},
    doi={10.1007/s11432-024-4125-9},
    archivePrefix={arXiv},
    eprint={2405.03924},
    primaryClass={cs.DB cs.AI cs.LG}
}