Current and Future Applications of Machine Learning for the US Army

Abstract

Recent major advances in the technology known as deep learning have reawakened global interest in machine learning and its potential to transform many technologies. In this report we review the different types of machine learning, outlining some of the places where it is currently used in Army research. Then we prognosticate where we see it applied to future Army research and operations. In doing so, we also identify gaps in current machine learning research that need to be filled for it to reach its full potential.

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Document Details

Document Type
Technical Report
Publication Date
Apr 13, 2018
Accession Number
AD1050263

Entities

People

  • Alexander Breuer
  • Brian Panneton
  • Kelly Kirk
  • Michael D Lee
  • Ramakrishna Valisetty
  • Scott P. Brown

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Vision
  • Data Mining
  • Dimensionality Reduction
  • Information Processing
  • Information Science
  • Information Systems
  • Kernel Functions
  • Machine Learning
  • Network Science
  • Neural Networks
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Strategic Security Studies
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks