Current and Future Applications of Machine Learning for the US Army

Report No. ARL-TR-8345
Authors: Michael Lee, Ramakrishna Valisetty, Alexander Breuer, Kelly Kirk, Brian Panneton, Scott Brown
Date/Pages: April 2018; 64 pages
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.
Distribution: Approved for public release
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Last Update / Reviewed: April 1, 2018