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Key Problems and Solutions of the Application of Artificial Intelligence Technology

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Artificial Intelligence in China

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 572))

Abstract

Google’s AlphaGo shocked the world by easily defeating Korean Go player Lee Shi-shi, thus setting off a new upsurge of artificial intelligence research and application. Currently, artificial intelligence technology is developing at a speed beyond imagination, and it has become the core and key to the leap-forward development of every industry. However, application of artificial intelligence technology also encounters many problems. Key problems of military application of artificial intelligence are analyzed emphatically, and solutions to those problems are introduced, as a reference to further research.

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References

  1. Jin X (2017) Status and development of intelligent command and control. Command Inf Syst Technol 8(4):10–18

    Google Scholar 

  2. Vanian J (2018) Artificial intelligence is too easy to be corrupted by bad examples, what should we do? http://www.fortunechina.com/business/c/2018–07/12/content_311635.htm. Cited 6 May 2019

  3. Zhou GX (2017) US military cyber deterrence and cyber resilience. Command Inf Syst Technol 8(5):76–80

    Google Scholar 

  4. Defense Science Board (2016) Summer study on autonomy, Washington

    Google Scholar 

  5. Mclemore C, Lauzen H (2018) The dawn of artificial intelligence in naval warfare. https://nosi.org/2018/06/16/the-dawn-of-artificial-intelligence-in-naval-warfare/?shared=email&msg=fail. Cited 6 May 2019

  6. Jensen B, Cuomo S, Whyte C, Wargaming with ATHENA: how to make militaries smarter, faster, and more efficient with artificial intelligence. http://www.warontherocks.com Cited 6 May 2019

  7. DARPA (2018) Learning with Less Labels (LwLL), Arlington, Virginia

    Google Scholar 

  8. DARPA (2017) Lifelong Learning Machines (L2M), Arlington, Virginia

    Google Scholar 

  9. DARPA (2018) Machine Common Sense (MCS), Arlington, Virginia

    Google Scholar 

  10. Wang YP (2017) Information security in artificial intelligence strategy. Secrecy Sci Technol 11:27–30

    Google Scholar 

  11. Lan YS, Zhou GX, Wang H, Yi K (2015) Construction mechanism and implementation of resilient command information systems. J Command Control 1(3):284–291

    Google Scholar 

  12. DARPA (2016) Explainable Artificial Intelligence (XAI), Arlington, Virginia

    Google Scholar 

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Author information

Authors and Affiliations

  1. Science and Technology on Information Systems Engineering Laboratory, Nanjing, 210007, China

    Guangxia Zhou

Authors
  1. Guangxia Zhou
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Corresponding author

Correspondence to Guangxia Zhou .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin, China

    Wei Wang

  3. Department of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  4. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  5. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  6. School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China

    Bingcai Chen

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Cite this paper

Zhou, G. (2020). Key Problems and Solutions of the Application of Artificial Intelligence Technology. In: Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z., Chen, B. (eds) Artificial Intelligence in China. Lecture Notes in Electrical Engineering, vol 572. Springer, Singapore. https://doi.org/10.1007/978-981-15-0187-6_48

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  • DOI: https://doi.org/10.1007/978-981-15-0187-6_48

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0186-9

  • Online ISBN: 978-981-15-0187-6

  • eBook Packages: EngineeringEngineering (R0)

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