Military signal intelligence (SIGINT) and image processing applications require the processing of very large data sets to predict and evaluate future courses of action. Government researchers such as the U.S. Department of Homeland Security’s Synthetic Environment for Analysis and Simulations (SEAS) project are leveraging deep learning to solve this challenge. However, such complex applications require extremely high processing power in small footprints, a solution that has only recently become available with the onset of high performance embedded computing (HPEC).
Presented by: Kontron
<p><i>Speaker(s): Mark Littlefield (Vertical Product Manager Defense, Kontron); Dr. Mohamed Bergach (System Software Architect, Kontron)</p>