新一代人工智能前沿问题研究

Tao Yuxiang, Wu Chaonan, Li Jingying, Yuan Ye
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引用次数: 0

摘要

随着新型冠状病毒肺炎疫情的爆发,人工智能在帮助防控疫情方面发挥着重要的赋能作用。人工智能的概念被提出已经有半个世纪了。此外,其发展过程也经历了“三起两落”。本文运用CiteSpace、专利挖掘等分析方法,对人工智能关键核心技术和人工智能问答模式中存在的两个前沿问题进行了深入分析。发现计算机视觉技术、自然语言处理技术和脑机接口技术已成为人工智能研究的重点。从关键核心技术专利数量来看,智能芯片技术和计算机视觉技术是重点研发对象。人工智能问答模式主要体现在交互模式的变化及其智能化上,其中核心技术和关键算法是重点。最后,在探索前沿问题的基础上,找到中国人工智能发展的突破口,从而在新一轮的国际竞争中拥有一定的话语权,为中国建设新一代人工智能创新发展实验区和创新平台提供相关决策参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Frontier Issues of New Generation Artificial Intelligence
With the outbreak of the New coronavirus pneumonia epidemic, artificial intelligence plays an important enabling effect in helping to prevent and control the epidemic. It has been half a century since artificial intelligence was proposed. Besides, its development process has experienced “three ups and two downs”. In this paper, CiteSpace, patent mining and other analysis methods are used to conduct an in-depth analysis of the two cutting-edge issues that exist in the key core technologies of artificial intelligence and the Artificial intelligence question and answer mode. It has found that computer vision technology, natural language processing technology and brain-computer interface technology have become the focus of artificial intelligence research. From the perspective of the number of key core technology patents, intelligent chip technology and computer vision technology are the key research and development objects. The Artificial intelligence question and answer mode are mainly reflected in the change of interactive mode and its intelligence, in which core technologies and key algorithms are the focus. Finally, based on the exploration of frontier issues, we find a breakthrough in the development of artificial intelligence in China, so as to have a certain voice in the new round of international competition and provide relevant decision-making reference for China's construction of a new generation of artificial intelligence innovation development experimental zones and innovation platforms.
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