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人工智能赋能军事训练
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AI—enabled military training
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    摘要:

    随着大数据、物联网和5G的不断发展,海量数据的获取变得越来越容易,人工智能技术利用GPU的强大计算能力和深度学习网络对高维数据和非线性模型的拟合能力,迎来了飞跃式发展,深刻改变着人类生产、生活和学习方式,出现了语音识别、机器翻译、无人驾驶及智能机器人等场景,计算、数据与模型的不断发展也成为推动人工智能前进的主要动力。本文分析了人工智能技术的主要发展方向,包括自然语言处理、语音识别和图像识别分析等,结合当前人工智能的主要技术方向和典型应用,展望了人工智能在军事训练领域的广阔应用前景,同时,聚焦发展智能化军事训练亟需解决的关键问题,针对解决网络、数据、模型等面临的问题提出措施建议,指出应通过模拟仿真训练提高训练效率,基于训练数据科学评价训练效果。

    Abstract:

    With developments in big data, the Internet of Things, and 5G technology in recent years, it is becoming increasingly easier to obtain and use massive amounts of data. Through the use of powerful GPUs as well as the capabilities of deep learning networks to fit high-dimensional data and nonlinear models, Artificial Intelligence (AI) technology is profoundly changing the means of human production, living, and learning. This paper analyzes the main directions in the development of AI technology, including natural language processing, speech recognition, and image recognition and analysis, in the context of the modes of human–computer interaction, the emergence of speech recognition, machine translation, automatic driving, intelligent robots, and other scenarios. The authors consider the wide prospects for the application of AI to military training while focusing on improving the efficiency of such training through simulations, scientifically evaluating the effects of training based on the relevant data, and key problems that need to be solved for developing intelligent military training. Suggestions are also made to solve problems related to the network, data, and models.

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庄春华,刘少杰,王协盼.人工智能赋能军事训练[J].国防科技,2021,42(4):129-132;ZHUANG Chunhua, LIU Shaojie, WANG Xiepan. AI—enabled military training[J]. National Defense Technology,2021,42(4):129-132

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  • 在线发布日期: 2021-08-31
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