Operationally Relevant Artificial Training for Machine Learning: Improving the Performance of Automated Target Recognition Systems
The authors explore whether an object-detection model trained on artificial images could evaluate real images as an automated target recognition system, an important advancement in artificial intelligence and machine learning for the U.S military.
Nov 18, 2020
Joint All-Domain Command and Control for Modern Warfare: An Analytic Framework for Identifying and Developing Artificial Intelligence Applications
The authors examine and recommend opportunities for applying artificial intelligence and, more broadly, automation to deliberate planning for joint all-domain command and control for the U.S. Air Force.
Jul 1, 2020
Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence–Assisted Mission Planning
U.S. air superiority is being challenged by global competitors. In this report, the authors prototype a new artificial intelligence system to help develop and evaluate concepts of operations for the air domain.
May 29, 2020