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NeurDB: an AI-powered autonomous data system

delete2024-09-13
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PRE
AI
S
Shaofeng Cai
G
Gang Chen
申
申妍燕 (Yanyan Shen)
K
Kian‐Lee Tan
Y
Yuncheng Wu
X
Xiaokui Xiao
丛悦 封面图
丛悦 (Yue Cong)
张美慧 封面图
张美慧 (Meihui Zhang)
Z
Zhanhao Zhao *
DOI:10.1007/s11432-024-4125-9delete
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摘要

摘要

En 中文
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.
Keyword:
AIxDB
in-database AI
intelligent data system

期刊

Science China Information Sciences 封面图
Science China Information Sciences
IF:
7.6
论文数:
4.9K
被引数:
8.9K

机构

S
shanghai jiao tong university
学者数:
15.7W
论文数: 11.7W
被引数: 159
R
Renmin University of China
学者数:
8.1K
论文数: 7.7K
被引数: 1.1W
B
beijing institute of technology
学者数:
5.5W
论文数: 4.0W
被引数: 63
N
National University of Singapore
学者数:
7.6W
论文数: 6.5W
被引数: 11.4W
Z
zhejiang university
学者数:
17.7W
论文数: 12.1W
被引数: 152
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