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控制/计算/通信交叉赋能,共筑智能化新质生产力

Cross-Enabling of Operation, Information and Communication: Building the Foundation for Intelligent New-Generation Productivity

  • 摘要: 随着智能化进程的不断加速,智能机器人、无人系统、工业互联网、车联网、人工智能大模型等智能系统正逐步引领新一轮的社会生产和生活变革。作为智能系统的三大基石,信息技术(information technology, IT)、通信技术(communication technology, CT)和控制技术(operation technology, OT)正在呈现深度交叉融合的发展趋势,这种融合是突破智能系统理论瓶颈和应用难题的关键所在。中国科学院计算技术研究所于2014年牵头组织了“通信网络与计算科学融合国际学术研讨会”,该会议在国内外产生了深远影响。2019年,研讨会更名为“计算通信控制科学融合国际研讨会”。2024年,由北京邮电大学教授、中国工程院院士张平牵头的第十一届研讨会聚焦控制−计算−通信技术(operation, information and communication technology, OICT)的深度交叉融合,以“计算/通信/控制交叉赋能,共筑智能化新质生产力”为主题,进一步探讨OICT如何助力智能化生产力发展。本文分析总结了研讨会上一些颇有新意的观点和见解,希望能吸引更多学者关注智能系统中OICT的深度融合,并探索其在推动新质生产力中的潜力。

     

    Abstract: As the process of intelligence continues to accelerate, intelligent systems such as smart robots, unmanned systems, industrial internet, internet of vehicles, and artificial intelligence large models are gradually leading a new round of transformation in social production and life. The three foundational pillars of intelligent systems, information technology (IT), communication technology (CT), and operation technology (OT) are exhibiting a trend of deep convergence. This integration is key to overcoming theoretical bottlenecks and application challenges in intelligent systems. In 2014, the Institute of Computing Technology of the Chinese Academy of Sciences took the lead in organizing the “International Symposium on the Convergence of Communication Networks and Computational Science”, which had a profound impact both domestically and internationally. In 2019, the symposium was renamed the “International Symposium on the Convergence of Information, Communication and Operation Science”. In 2024, the 11th symposium, led by Academician Ping Zhang from Beijing University of Posts and Telecommunications, focused on the deep convergence of operation, information, and communication technology (OICT), with the theme of “Cross-Enabling of Information, Communication and Operation: Building the Foundation for Intelligent New-Generation Productivity”. The symposium further explored how OICT can promote the development of intelligent productivity. This article analyzes and summarizes some of the novel viewpoints and insights presented at the symposium, aiming to stimulate discussion and attract more scholars' attention to the deep integration of OICT in intelligent systems, and explore its potential in driving new-generation productivity.

     

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