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NeurDB: An AI-powered Autonomous Data System

2024-05-07 00:51:48
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao

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, our next-generation 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.

Abstract (translated)

在人工智能 (AI) 迅速发展的背景下,我们站在数据系统变革的边缘。AI 和数据库 (AIxDB) 的即将融合为新一代数据系统带来了无限可能,这将减轻所有行业部门用户负担,并具备诸如个性化和自动化的数据库内 AI 增强功能等 AI 加强功能。在本文中,我们深入探讨了数据系统的演变,重点关注了 AI 和数据库的融合。我们介绍了 NeurDB,我们专门为每个主要系统组件进行了 AI 设计的下一代数据系统,并提供了数据库内 AI 增强分析功能。我们概述了 NeurDB 的概念和架构概述,讨论了其设计选择和关键组件,并报告了其当前开发和未来计划。

URL

https://arxiv.org/abs/2405.03924

PDF

https://arxiv.org/pdf/2405.03924.pdf


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