Global Military Machine Learning Technology Development Tracking and Evaluation
में बचाया:
| में प्रकाशित: | European Conference on Cyber Warfare and Security (Jun 2021), p. 61 |
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| मुख्य लेखक: | |
| अन्य लेखक: | |
| प्रकाशित: |
Academic Conferences International Limited
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text Full Text - PDF |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2555179604 | ||
| 003 | UK-CbPIL | ||
| 024 | 7 | |a 10.34190/EWS.21.092 |2 doi | |
| 035 | |a 2555179604 | ||
| 045 | 2 | |b d20210601 |b d20210630 | |
| 084 | |a 142231 |2 nlm | ||
| 100 | 1 | |a Chen, Long |u Beijing Key Laboratory of Network Technology, Beihang University, Beijing, China innovation Technology Research Institute, Beijing Topsec Network Security Technology Co Ltd, China | |
| 245 | 1 | |a Global Military Machine Learning Technology Development Tracking and Evaluation | |
| 260 | |b Academic Conferences International Limited |c Jun 2021 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a Department of Defense | |
| 651 | 4 | |a Russia | |
| 651 | 4 | |a United States--US | |
| 653 | |a Command and control | ||
| 653 | |a Weapons | ||
| 653 | |a Social networks | ||
| 653 | |a Military applications | ||
| 653 | |a Induction motors | ||
| 653 | |a Space stations | ||
| 653 | |a Military intelligence | ||
| 653 | |a Tracking | ||
| 653 | |a Machine learning | ||
| 653 | |a Military technology | ||
| 653 | |a Defense | ||
| 653 | |a Strategic planning | ||
| 653 | |a Armed forces | ||
| 653 | |a Distributed processing | ||
| 653 | |a Information warfare | ||
| 653 | |a Data management | ||
| 653 | |a Data analysis | ||
| 653 | |a Federal agencies | ||
| 653 | |a Technology assessment | ||
| 653 | |a Cooperation | ||
| 653 | |a Electronic warfare | ||
| 653 | |a Algorithms | ||
| 653 | |a Logistics | ||
| 653 | |a Military engineering | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Research projects | ||
| 653 | |a Control equipment | ||
| 653 | |a Collaborative learning | ||
| 653 | |a Educational technology | ||
| 653 | |a Military weapons | ||
| 653 | |a Trends | ||
| 653 | |a Reinforcement | ||
| 653 | |a Technology | ||
| 653 | |a Equipment | ||
| 653 | |a Intelligence gathering | ||
| 653 | |a War | ||
| 653 | |a Space weapons | ||
| 653 | |a Militarization | ||
| 653 | |a Navy | ||
| 653 | |a Development strategies | ||
| 653 | |a Enlightenment | ||
| 653 | |a Evaluation research | ||
| 653 | |a Space technology | ||
| 653 | |a Cooperative learning | ||
| 653 | |a Induction | ||
| 653 | |a Military engagements | ||
| 653 | |a Space warfare | ||
| 653 | |a Army | ||
| 653 | |a Transformation | ||
| 653 | |a Social factors | ||
| 653 | |a Air force | ||
| 700 | 1 | |a Chen, Jianguo |u Hebei Seismological Station, Earthquake Administration of Hebei Province, Shijiazhuang, China | |
| 773 | 0 | |t European Conference on Cyber Warfare and Security |g (Jun 2021), p. 61 | |
| 786 | 0 | |d ProQuest |t Political Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2555179604/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2555179604/fulltext/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2555179604/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |