深度学习算法、硬件技术及其在未来军事上的应用  

Deep Learning Algorithms, Hardware and Their Military Applications

作　　者：魏敬和 林军[2] WEI Jinghe;LIN Jun(China Key System&Integrated Circuit Co.,LTD.,Wuxi 214072,China;Nanjing University,Nanjing 210023,China)

机构地区：[1]中科芯集成电路有限公司,江苏无锡214072 [2]南京大学,南京210023

出　　处：《电子与封装》2019年第12期1-6,22,共7页Electronics & Packaging

摘　　要：人工智能在感知和认知智能领域取得的重大进展,促进该技术向军事应用的转移。从当前深度学习算法研究重点展开论述,对其未来的技术应用、发展方向进行了系统的梳理,从延续传统架构的CPU、GPU、FPGA、ASIC和非传统架构的神经拟态芯片两个阵营出发,依次对比分析了各个计算架构的结构特点以及对人工智能硬件未来发展带来的影响,同时以雷达红外图形处理技术和声呐信号处理技术在军事上的应用为例,阐述了人工智能技术在未来军事领域内的发展方向。Significant progress has been made by artificial intelligence(AI) in the field of perceptual and cognitive intelligence, which promotes its applications in the military field. This paper discusses the current research of deep learning algorithms and systematically analyzes its application and development direction. By comparing the traditional architectures of CPU, GPU, FPGA, ASIC with non-traditional architectures of neuromorphic chips, the structural characteristics of each computing architecture and their impact on the development of AI hardware are discussed. Besides, taking the application of radar infrared image processing technology and sonar signal processing technology in the military as examples, the development direction of AI technology in the military field is analyzed.

关 键 词：深度学习 硬件实现 军事应用 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]