【摘要】 [目的]人工智能已经成为社会各界最为关注的热点技术方向,本文旨在让政府部门、科技人员、产业人员和社会大众了解人工智能领域的最新动态。[方法]本文重点梳理了2019年人工智能新闻事件和科技文献,对人工智能领域总体发展态势进行概括和总结,对人工智能重点技术进展进行综述和展望。[结果] 2019年人工智能发展更加理性务实,一方面呈现出"瓜熟蒂落、水到渠成"的繁荣景象,在万物互联、大数据、超级计算、深度学习时代实现了技术应用和产业落地,另一方面我们也可以看到基于深度神经网络的技术创新开始进入平稳期,科研人员开始探索增强学习、自动化机器学习、脑机接口、类脑智能、可解释人工智能等新方向,在人工智能创新触发期"芽苞初放,生机勃勃"。[局限]本文以介绍人工智能技术进展为主,没有对技术未来方向进行全面预测。[结论] 2019年人工智能在神经形态芯片、脑机融合、人机博弈、智能机器人、计算机视觉、自然语言理解等领域都取得重要技术进展,但是我们看到迈向通用人工智能仍然任重道远,人工智能领域亟待革命性的技术创新和突破。更多还原

【Abstract】 [Objective] Artificial Intelligence(AI) has become a hot technology topic in the society.This paper aims to provide updated information of AI developments and advances to government,research community,industry and public.[Methods] This paper mainly reviews AI news and scientific publications in 2019 to summarize the overall technology progresses of AI.[Results]The AI community has become more rational and pragmatic relatively in 2019.On one hand,AI technologies are getting mature with more and more successful applications in the era of Internet of Things,Big Data,Super-computing,and Deep Learning.On the other hand,there are more and more promising and new directions in AI researches such as reinforcement learning,automatic machine learning,brain-machine interface,brain-like intelligence,and interpretable artificial intelligence.[Limitations] This paper mainly introduces the current development status of AI with limited efforts in prediction of future AI directions.[Conclusions] Great progress has been achieved in the areas of neuromorphic chips,brain-machine interface,human-computer game,intelligent robot,natural language understanding,and computer vision in 2019.But it is still a challenging task towards general AI.Technology breakthroughs are needed to achieve a new generation of AI.更多还原