Military AI
 
 
APRIL 2019

Military AI brought to you by the editors of Mil-Embedded.com focuses on artificial intelligence technology in the defense and aerospace domain, bringing readers coverage on machine learning, neural networks, and deep learning techniques leveraged in military and aerospace applications.
 
 
 
 
 
Best in Show
 
 
 
 
 
 
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SALLY COLE, SENIOR EDITOR
 
As the U.S. Army launches a project to bring artificial intelligence (AI) to the battlefield, other researchers have developed tests to determine whether systems are using “explainable artificial intelligence,” which can play a crucial role in preventing undesirable decision-making.
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
HRL Laboratories -- an R & D lab owned by The Boeing Company and General Motors -- has embarked on a new program with the Defense Advanced Research Projects Agency (DARPA) that aims to develop an artificial intelligence (AI) decision-making engine for multiagent military problems such as multidomain war gaming and strategic battle management.
 
 
 
 
 
 
 
 
Mercury Systems
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Officials at the Defense Agency Research Projects Agency (DARPA) are soliciting creative proposals for the fourth swarm sprint in its OFFensive Swarm-Enabled Tactics (OFFSET) program.
 
 
 
 
 
 
 
MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Artificial intelligence (AI) has the potential to change the way technology progresses, if created and developed properly to fit the needs of the industry. For avionics suppliers, it’s a tricky field, with years of research and development (R&D) ahead of them to develop AI solutions focused on easing the safety-certification process.
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
The Defense Advanced Research Projects Agency (DARPA) is studying the basic machine "social skills" that will be needed to generate effective human-machine collaboration.
 
 
 
 
 
 
 
 
Abaco
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
Intelligent-systems developer Charles River Analytics is partnering with the University of Southern California, Harvard University, the University of Birmingham, and Metron Scientifc to develop a program called Probabilistic Representation of Intent Commitments to Ensure Software Survival (PRINCESS).
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
A new market study from Frost & Sullivan, "US DoD C4ISR, 2018–2023," predicts that U.S. Department of Defense (DoD) spending on C4ISR [command, control, communications, computer, intelligence, surveillance, and reconnaissance] technologies will have a combined annual growth rate (CAGR) of 3.3 percent through 2023.
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
The Defense Advanced Research Projects Agency (DARPA) Lifelong Learning Machines (L2M) program reports some progress toward its goal of developing computer systems that can learn continuously and become increasingly expert while performing tasks.
 
 
 
 
 
 
 
 
Sea Air Space
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
The autonomous aircraft market is projected to grow from an estimated $3.6 billion in 2018 to $23.7 billion by 2030, at a CAGR of 17.06 percent during the period covered, according to a market study from MarketsandMarkets, "Autonomous Aircraft Market by Technology (Increasingly Autonomous, and Fully Autonomous), End Use (Commercial, Combat & ISR, Cargo, Passenger Air Vehicle, Personal Air Vehicle, Air Medical Services), Component, and Region -- Global Forecast 2030."
 
 
 
 
 
 
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ABACO SYSTEMS
 
This white paper looks at how hypersonic flight will place radical new demands on the embedded computing systems on which they will rely – in terms of not only new levels of performance, but also of new levels of ruggedness.
 
 
 
 
 
 
 
 
 
 
 
Sponsored by: Elma Electronic, Pentek
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