Military AI
 
 
OCTOBER 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
 
HRL Laboratories, LLC has launched the Causal Adaptive Decision Aid (CADA) project, which will distill massive data from multiple intelligence sources into a ranked list of recommended courses of action for Naval command center personnel.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
General Dynamics Mission Systems released the Bluefin-12 autonomous unmanned underwater vehicle (UUV) at Defense and Security Equipment International (DSEI) 2019.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
General Atomics Aeronautical Systems, Inc. (GA-ASI) has been awarded a contract from the U.S. Air Force (USAF) to demonstrate the Air Force Research Lab’s Agile Condor capability using a MQ-9 Remotely Piloted Aircraft (RPA) owned by GA-ASI.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
The U.K.’s Defence Science and Technology Laboratory (Dstl), and the United States Army Combat Capabilities Development Command’s Ground Vehicle Systems Center, have hosted an experiment of prototype semi-autonomous logistic convoys with ground and aerial autonomous resupply systems at Camp Grayling Joint Manoeuvre Training Center.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Perspecta Inc., announced that its innovative applied research arm, Perspecta Labs, was awarded a prime award from the Consortium Management Group, Inc. (CMG), on behalf of the Consortium for Command, Control, and Communications in Cyberspace (C5) for work on a modular radio frequency (RF) communications solution for the United States Army.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Abaco Systems announced a new rugged XMC graphics and video capture board. The NVP2102 takes advantage of the high performance of the NVIDIA Pascal P2000 GPU with its 768 cores and 4 GBytes of GDDR5 memory to deliver 2.3 TeraFLOPS of performance with support for both CUDA and OpenCL. According to the company, it is the first Abaco video/graphics XMC product to offer high performance input and output.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Inspur has announced the open-source release of TF2, an FPGA-based efficient AI computing framework. The inference engine of this framework employs the world's first deep neural network (DNN) shift computing technology, combined with a number of the latest optimization techniques, to achieve FPGA-based high-performance low-latency deployment of universal deep learning models.
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
Britain's next-generation autonomous surface vessel, an inflatable combination of drone and boat, had its first public display at Defence and Security Equipment International (DSEI).
 
 
 
 
 
 
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EMMA HELFRICH, ASSOCIATE EDITOR
 
The U.S. Army Combat Capabilities Development Command's Army Research Laboratory and industry, academic, and government partners are working to provide reliable robot teammates that will have the ability to classify the environment for quality of surface and potential hazards, then maneuver behavior to adjust to conditions.
 
 
 
 
 
 
 
PENTEK
 
An A/D (Analog-to-Digital) converter, frequently abbreviated as ADC, accepts an analog voltage at the input and produces a digital representation of that voltage at the output that’s called a “sample”. The two primary characteristics of A/Ds are the rate of conversion or sampling rate, expressed in samples per second, and the accuracy of each digital sample expressed as the number of binary bits or decimal digits per sample. Sampling rates vary tremendously between applications. The difference in sample rates between these two prominent examples is a staggering 10 orders of magnitude. There are thousands of A/D applications spread continuously throughout this range.
 
 
 
 
 
 
 
 
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