AI Engineering: 11 Foundational Practices

Abstract

THE U.S. DEPARTMENT OF DEFENSE (DOD) is increasingly interested in taking full advantage of the improved capabilities of machine learning (ML) algorithms and building artificial intelligence (AI)-enabled systems that speed up timeliness and accuracy of the decisions made to support DoD missions. With the increased availability of computing resources, applying ML algorithms to models of thousands of parametersand terabytes and petabytes of datais now possible.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2020
Accession Number
AD1099280

Entities

People

  • Andrew Mellinger
  • Angela Horneman
  • Ipek Ozkaya

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Data Management
  • Department Of Defense
  • Emerging Technology
  • Engineering
  • Facial Recognition
  • Governments
  • Guarantees
  • Machine Learning
  • Materials
  • Resource Management
  • Software Design
  • Software Development
  • Systems Engineering
  • Universities

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Neural Network Machine Learning.

Technology Areas

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