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Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control
Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control
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This report, which describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective, presents an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The authors also provide metrics that can be used to evaluate AI systems and to demonstrate and socialize their utility.
  • Leidėjas:
  • ISBN-10: 1977407099
  • ISBN-13: 9781977407092
  • Formatas: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control (el. knyga) (skaityta knyga) | knygos.lt

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This report, which describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective, presents an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The authors also provide metrics that can be used to evaluate AI systems and to demonstrate and socialize their utility.

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  • Autorius: Matthew Walsh
  • Leidėjas:
  • ISBN-10: 1977407099
  • ISBN-13: 9781977407092
  • Formatas: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

This report, which describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective, presents an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The authors also provide metrics that can be used to evaluate AI systems and to demonstrate and socialize their utility.

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