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Database and Artificial Intelligence (AI) can benefit from each other. On the one hand, AI can make database more intelligent (AI4DB) by exploiting learning-based techniques. On the other hand, database techniques can optimize AI models (DB4AI), such as reducing the complexity of using AI models and accelerating the deployment of AI algorithms. In this special section, we discuss 1) how to exploit AI or machine learning techniques for index design, performance tuning, query processing in database systems, and 2) how to utilize database and data management techniques to make AI models more reusable and more tolerant to dirty data. 相似文献
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<正>为了更精确地认识与改造世界,新一代的嵌入式系统必须将计算世界与物理世界作为紧密交互的整体进行认知,实现集计算、通信与控制于一体的深度融合的理论体系与技术框架,即信息物理系统(cyber-physical systems,简称CPS).与传统嵌入式系统不同,CPS充分考虑了计算部件与物理环境的深度融合,通过将设备智能化连接,实现物理环境系统与计算系统之间精确感知与高效协同.基于CPS理念设计出来的计算设备可以根据具体任务需求自适应地调整与配置计算逻辑,精确智能地获取外部物理环境信息并做出针对性的实时反应,完成安全可靠的控制服务,从而实现物理世界与信息世界的有机统一. 相似文献
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Xian-He Sun Dong Li Wen-Guang Chen Tao Li Ji-Wu Shu Bo Wu Jin Xiong Jinging Xue Feng Zhang Ji-Dong Zhai Zhiia Zhao 《计算机科学技术学报》2021,36(1):1-3
It is our great pleasure to announce the publication of this special section in Journal of Computer Science and Technology(JCST),Memory-Centric System Research for High-Performance Computing(HPC). 相似文献
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