1. NeurDB: An AI-powered Autonomous Data System
- Author
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Ooi, Beng Chin, Cai, Shaofeng, Chen, Gang, Shen, Yanyan, Tan, Kian-Lee, Wu, Yuncheng, Xiao, Xiaokui, Xing, Naili, Yue, Cong, Zeng, Lingze, Zhang, Meihui, and Zhao, Zhanhao
- Subjects
Computer Science - Databases ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
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.
- Published
- 2024