Autonomous Horizons: The Way Forward

Abstract

Dr. Greg Zacharias, Chief Scientist of the United States Air Force 2015-18, explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording us significant protection for our Airmen, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. The commercial world already recognizes this potential and has pounced on it; for our military, the pace is slower, but the promise is just as transformational. Our potential adversaries are moving out on a broad range of related investments; the time is right that we do as well, taking advantage of the dizzying pace of commercial advances in AS and AI applications, as well as explosive gains in the underlying computational infrastructure afforded by Moores law growth in computational power, memory, networking, and data availability. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology

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Document Details

Document Type
Technical Report
Publication Date
Mar 18, 2019
Accession Number
AD1157410

Entities

People

  • Bert Peterson
  • Greg L. Zacharias
  • Mike Mendenhall
  • Steven K. Rogers

Organizations

  • Air Force Institute of Technology
  • Air Force Research Laboratory
  • Israel Innovation Authority

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Electronic Warfare
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Data Mining
  • Human Factors Engineering
  • Human Systems Integration
  • Information Science
  • Information Systems
  • Network Science
  • Ontologies
  • Psychology
  • Self Organizing Systems

Readers

  • Research Science/Academic Research
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs