Military AI
 
 
JANUARY 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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MILITARY EMBEDDED SYSTEMS
 
An artificial intelligence technological timeline from the 1940s to today. 
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Officials at the U.K. Defence Science and Technology Laboratory (DSTL), the Air Force Research Laboratory (AFRL), the Wright Brothers Institute, and the University of Dayton Research Institute launched an artificial intelligence (AI) challenge that will conclude with a final showdown on March 29 - 31, 2019.
 
 
 
 
 
 
 
MARIANA IRIARTE, TECHNOLOGY EDITOR
 
The Office of Naval Research (ONR) tasked Charles River Analytics Inc. to build a maritime defense tool for the Topside Optical Processing for Global Unmanned Navy (TOPGUN) effort. The 18-month program is valued at $1.6 million.
 
 
 
 
 
 
 
 
Mercury Systems
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Officials at the U.S. Army Research Laboratory (ARL) and Technica Corp. entered into cooperative agreement to support the Distributed Processing in Heterogeneous Tactical Environment (DPHTE) program. The research agreement is valued approximately at $1.04 million.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
MarketsandMarkets officials released the report titled: "Supply Chain Analytics Market by Software (Supplier Performance Analytics, Demand Analysis and Forecasting, and Inventory Analytics), Services, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023."
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Officials at the Defense Advanced Research Projects Agency (DARPA) launched the Knowledge-directed Artificial Intelligence Reasoning Over Schemas (KAIROS) program, which seeks to create a schema-based artificial intelligence (AI) capability to enable contextual and temporal reasoning about complex real-world events in order to generate actionable understanding of these events and predict how they will unfold.
 
 
 
 
 
 
 
 
 
 
 
Sponsored by: ADLINK Technology, LCR Embedded Systems
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Developer of intelligent systems solutions, Charles River Analytics Inc. created the Causal Models to Explain Learning (CAMEL) approach under the Defense Advanced Research Projects Agency's (DARPA) Explainable Artificial Intelligence (XAI) effort.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Defense Advanced Research Projects Agency (DARPA) officials held a second preliminary event of the Spectrum Collaboration Challenge (SC2) in December. Fifteen teams represented by members from across the academic, commercial, and defense industries gathered at Johns Hopkins University Applied Physics Laboratory (APL) to pit their intelligent radio designs against each other in a head-to-head competition.
 
 
 
 
 
 
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PENTEK, INC. 
 
Before the advent of OpenVPX, designers of embedded systems took advantage of the extreme connectivity offered by VPX (VITA 46), but were faced with a virtually unlimited number of possible implementations. 
 
 
 
 
 
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