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http://dx.doi.org/10.5762/KAIS.2020.21.5.409

An Empirical Study on Defense Future Technology in Artificial Intelligence  

Ahn, Jin-Woo (Defense Agency for Technology and Quality)
Noh, Sang-Woo (Defense Agency for Technology and Quality)
Kim, Tae-Hwan (Defense Agency for Technology and Quality)
Yun, Il-Woong (Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.5, 2020 , pp. 409-416 More about this Journal
Abstract
Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.
Keywords
Artificial Intelligence; Defense AI; Core Technology; Technological Forecasting; Future Prediction;
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