Military AI
 
 
FEBRUARY 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
 
 
 
 
 
 
 
JOHN MCHALE, EDITORIAL DIRECTOR
 
Lessons learned in combat situations like Ukraine and anti-access area denial (A2/AD) environments have given U.S. defense planners a better understanding of the technological capabilities of near peer adversaries such as Russia and China, how the U.S. falls behind these threats...
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
A research team from the University of North Dakota (UND) has been working since mid-2017 under a grant from Rockwell Collins with the aim of addressing cybersecurity concerns involving unmanned aerial systems (UASs), more commonly called drones.
 
 
 
 
 
 
 
MARIANA IRIARTE, TECHNOLOGY EDITOR
 
The U.S. Army is collaborating with researchers from the University of California, Santa Barbara (UCSC) to test the hypothesis that many people trust their own abilities far more than that of an artificial intelligence (AI) entity and its effects in military applications.
 
 
 
 
 
 
 
 
Mercury Systems
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Officials at the Defense Advanced Research Projects Agency (DARPA) created the Guaranteeing AI Robustness against Deception (GARD) program, which aims to develop a new generation of defenses against adversarial deception attacks on machine learning (ML) models.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
U.S. Navy officials released additional funding to Charles River Analytics to extend and enhance the company's Distributed Analysis Tool for Enterprise Monitoring (DATEM) full-scope prototype. The DATEM contract with options is valued at approximately $1.5 million over four years.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Researchers from the U.S. Combat Capabilities Development Command's Army Research Laboratory, the Army's Institute for Creative Technologies and Northeastern University (NU) collaborated in a new research study that suggests the use of autonomous machines increases cooperation among individuals.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Moog Space and Defense Group and Unibap AB officials entered into an agreement for Moog to market Unibap’s Artificial Intelligence (AI) processing technology to the U.S. market.
 
 
 
 
 
 
 
 
AUVSI
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
The Defense Advanced Research Projects Agency (DARPA) launched the Competency-Aware Machine Learning (CAML) program, which aims to develop machine learning systems that continuously assess their own performance in time-critical, dynamic situations and communicate that information to human team-members in an easily understood format.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
Frost & Sullivan’s analysis titled "Envisioning the Next-Generation Cybersecurity Practices," presents an overview of cybersecurity in enterprises and analyzes the drivers and challenges to the adoption of best practices in cybersecurity. It also covers the technologies impacting the future of cybersecurity and the main purchase factors.
 
 
 
 
 
 
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MARIANA IRIARTE, TECHNOLOGY EDITOR
 
British army officials tasked Bohemia Interactive Simulations (BISim) to demonstrate the art of the possible using virtual reality, machine learning, and cloud computing for the Army’s Collective Training Transformation Program (CTTP). 
 
 
 
 
 
 
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PARABRICKS & SKYSCALE
 
Modern genomics is characterized by rapid production of vast amounts of raw sequencing data (sequencing reads) using next-generation sequencing (NGS) and the equally massive computing requirements for conversion of that data into useful results.
 
 
 
 
 
 
 
 
 
 
 
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