Military AI
 
 
SEPTEMBER 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.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Perspecta Inc. and its applied research arm, Perspecta Labs, was awarded a prime contract from the U.S. Defense Advanced Research Projects Agency (DARPA) to provide Photonic Edge AI Compact Hardware (PEACH) research under DARPA’s Artificial Intelligence (AI) Exploration program.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Charles River Analytics Inc., developer of intelligent systems solutions, has received additional funding from the U.S. Air Force to build a Game-Theoretic Reasoning and Analysis of Vulnerability (GRAVITY) tool.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Z Advanced Computing, Inc. (ZAC), a software startup funded by the U.S. Air Force, will use ZAC's detailed 3D image recognition technology, based on Explainable-Artificial Intelligence (AI), for unmanned aerial vehicles' (UAV) aerial image/object recognition.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
BAE Systems has been awarded a Phase 2 contract to develop machine-learning capabilities aimed to help the military gain better awareness of space scenarios for the U.S. Defense Advanced Research Projects Agency (DARPA).
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Triumph Group joins Sikorsky, a Lockheed Martin company, in announcing the first flight of the optionally piloted Black Hawk helicopter equipped with a fly-by-wire technology kit.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
BAE Systems announced the launch of its new Robotic Operations Center (ROC) to customize and deploy suites of software robots that automate high-volume, repetitive tasks in support of U.S. national security missions.
 
 
 
 
 
 
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TAMMY CARTER CURTISS-WRIGHT DEFENSE SOLUTIONS
 
A framework is a toolbox for creating, training, and validating deep-learning neural networks. Using a high-level programming API, it hides the complexities of the underlying algorithms to greatly simplify and speed up development. Like deep learning, frameworks are evolving rapidly. This column will focus on frameworks that work with NVIDIA’s TensorRT, a tool for deploying high-­performance deep neural networks.
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
Geospatial and data company Envitia -- together with partner BAE Systems Applied Intelligence, has won a contract to embark on one of the first artificial-intelligence (AI) projects for the British navy: To develop and deliver an AI-equipped unmanned underwater vehicle (UUV) that will hunt underwater mines.
 
 
 
 
 
 
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LISA DAIGLE, ASSISTANT MANAGING EDITOR
 
Lt. Gen. Jack Shanahan, director of the Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC), said in a recent press conference that he is "optimistic that 2020 will be a breakout year for the department when it comes to fielding A.I.-enabled capabilities," according to a DoD transcript.
 
 
 
 
 
 
 
ABACO SYSTEMS
 
An armed Humvee is moving at night thru a smoke-filled, urban battlefield. Using multiple displays, the crew has a 360˚ view that is daylight clear, delivered by an imaging system fusing data from optical, infrared, lidar, and radar sensors. The imaging data, combined with RF input, is also feeding into an onboard AI capability that identifies objects and categorizes them into threat levels. A moving object is instantly focused on by sensors and a window on the crew’s display zooms in; both the crew and the AI deep learning algorithms identify the moving object as a stray dog – no threat. The Humvee never pauses.
 
 
 
 
 
 
 
 
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