NeurDB: an AI-powered autonomous data system

被引：0
|
作者：
Ooi, Beng Chin [1 ]
Cai, Shaofeng [1 ]
Chen, Gang [2 ]
Shen, Yanyan [3 ]
Tan, Kian-Lee [1 ]
Wu, Yuncheng [4 ]
Xiao, Xiaokui [1 ]
Xing, Naili [1 ]
Yue, Cong [1 ]
Zeng, Lingze [1 ]
Zhang, Meihui [5 ]
Zhao, Zhanhao [1 ]
机构：
[1] Natl Univ Singapore, Sch Comp, Singapore 117417, Singapore
[2] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310027, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China
[4] Renmin Univ China, Sch Informat, Beijing 100073, Peoples R China
[5] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2024年 / 67卷 / 10期
基金：
中国国家自然科学基金;
关键词：
AIxDB; in-database AI; intelligent data system; ANALYTICS; COST;
D O I：
10.1007/s11432-024-4125-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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 (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, 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.
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页数：22
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