中图分类号：TP391.7
文献标识码：A
DOI： 10.19358/j.issn.2096-5133.2020.03.009
引用格式：杨建，傅明驹，徐国强.人工智能基础软硬件架构的关键技术研究［J］.信息技术与网络安全，2020,39（3）：44-49.

Research on key technologies of basic hardware and software architecture of artificial intelligence

Abstract： Aiming at the application problems and difficulties of artificial intelligence technology in the military field,the design method of military hardware and software architecture based on deep learning technology is studied.Combined with the mainstream software and hardware infrastructure in the industry,the key technologies and solutions in military applications are analyzed. Through studying the key technologies of software and hardware architecture,including deep learning model compression transformation,data enhancement and distributed training,this paper designs and builds a onestop artificial intelligence development platform and an embedded edge intelligent computing platform to provide end to end training,department and test support for military AI.It provides a softwarehardware collaborative intelligent computing solution for future intelligent unmanned combat system.

Key words : military artificial intelligence;model compression;data enhancement;onestop artificial intelligence development platform;embedded edge intelligent computing platform