Global Military Machine Learning Technology Development Tracking and Evaluation
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| Veröffentlicht in: | European Conference on Cyber Warfare and Security (Jun 2021), p. 61 |
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Academic Conferences International Limited
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| Abstract: | We have carried out global military machine learning technology development tracking and evaluation research, summarized the global military machine learning technology development status, analyzed its main technology development path, studied its development trend, analyzed the global military machine learning technology typical military application cases and development prospects, and proposed Enlightenment suggestions. Related institutions are paying close attention to the development strategy of machine learning in the military field. Representative countries have formulated the technical route of machine learning in the military field. In particular, the U.S. military has seized the opportunity for Intelligence construction. During the past few years, it has been conducting theoretical preparations and technological evolution. The U.S. military's intelligent construction is speeding up in an all-round way, and the overall combat capability will make a sharp jump. In particular, the U.S. Department of Defense(DoD) has accelerated the militarization of artificial intelligence applications and specially established the Joint Artificial Intelligence Center (JAIC) to coordinate and advance military research on artificial intelligence. With regard to machine learning to strengthen the construction and operations of various services and arms, militaries have intensively deployed various military intelligence research projects, carried out research on machine learning intelligent algorithms and promoted the transformation of artificial intelligence technology to intelligence processing, unmanned platforms, command and control, and weapon equipment systems. Troops from different countries around the world are taking machine learning technology into their land-based, sea-based, air-based, space-based and network space platforms weapons, networks and other systems. Taking the US military as an example around machine learning, the US Army conducts research on distributed processing and applied machine learning systems in autonomous networks and heterogeneous environments. The Navy develops unmanned naval information and response electronic attack projects. The Air Force's "quantum plan" and autonomous clusters resilient network, machine learning wingman, and six-generation machine developed so that it greatly increased combat power. Marines carry out the depth of reinforcement learning collaborative information warfare. Space army carries out analysis of the space-based data management. In particular, a series of planned network covered troops cyber threat defense, military IoT network defense, machine learning behavior detection, social network data analysis, and network electronic warfare, and other dimensions. In addition, we investigated the induction machine learning in future operations, intelligence, network, logistics, identification, health, trend data, and a plurality of key areas of current situation with development trend. We also put forward the suggestions. |
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| DOI: | 10.34190/EWS.21.092 |
| Quelle: | Political Science Database |