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NeurDB: An AI-powered Autonomous Data System by Ooi, Beng Chin; Cai, Shaofeng; Chen, Gang; Shen, Yanyan; Tan, Kian-Lee; Wu, Yuncheng; Xiao, Xiaokui; Xing, Naili; Yue, Cong; Zeng, Lingze; Zhang, Meihui; Zhao, Zhanhao is a scholarly article available to read on EtoBox.

What is NeurDB: An AI-powered Autonomous Data System about?

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.

Author

Ooi, Beng Chin; Cai, Shaofeng; Chen, Gang; Shen, Yanyan; Tan, Kian-Lee; Wu, Yuncheng; Xiao, Xiaokui; Xing, Naili; Yue, Cong; Zeng, Lingze; Zhang, Meihui; Zhao, Zhanhao

Published

2024

Language

EN