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ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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Claim

POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN TRAINING MILITARY PERSONNEL IN DEVELOPED FOREIGN COUNTRIES

Research datakeyboard_double_arrow_right Dataset 20 Dec 2024Publisher:Zenodo
Authors: Bekpulatov Khabibulla;

doi: 10.5281/zenodo.14533181 , 10.5281/zenodo.14533182

POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN TRAINING MILITARY PERSONNEL IN DEVELOPED FOREIGN COUNTRIES

Abstract

The rapid advancement of artificial intelligence (AI) technologies has brought about significant changes in many sectors, including defense and military training. The integration of AI into military training offers numerous opportunities to enhance the efficiency, effectiveness, and safety of training programs. This article explores the various possibilities of using AI in the training of military personnel, examining its applications in simulation, personalized learning, real-time decision-making, and autonomous systems. The article also discusses the potential challenges and ethical considerations in the implementation of AI in military training.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average