Accession Number:

AD1099280

Title:

AI Engineering: 11 Foundational Practices

Descriptive Note:

Technical Report

Corporate Author:

Carnegie Mellon University Pittsburgh United States

Personal Author(s):

• Horneman,Angela
• Mellinger,Andrew
• Ozkaya,Ipek

Report Date:

2020-04-01

Pagination or Media Count:

4.0

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.

Descriptors:

• systems
• cybersecurity
• systems engineering
• artificial intelligence
• software development
• machine learning
• software design
• resource management
• facial recognition
• algorithms
• training
• reliability
• monitoring
• data management

Subject Categories:

• Cybernetics
• Information Science
• Military Operations, Strategy and Tactics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE