A Primer on Machine Learning for Materials and Its Relevance to Army Challenges

Abstract

Machine learning and related topics (data science, artificial intelligence, etc.) are discussed in the context of their application to US Department of Defense weapons and materials problems. A brief introduction to this research area and discussion of a few common questions are provided for a general audience of scientists or engineers. Concise self-instruction guides are provided to educate researchers beginning work in the field who need to quickly get up to speed and execute professional research projects.

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Document Details

Document Type
Technical Report
Publication Date
Dec 06, 2018
Accession Number
AD1064516

Entities

People

  • Brian C. Barnes

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computational Science
  • Computer Programming
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Department Of Defense
  • Dimensionality Reduction
  • Information Science
  • Machine Learning
  • Materials Science
  • Network Science
  • Neural Networks
  • Predictive Modeling
  • Supervised Machine Learning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Library and Information Science

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy