In a request for information (RFI), the U.S. Navy is seeking technologies to assist IT staff in correcting technical issues in data centers in enterprise networks. “The United States Navy is assessing the global impact of transformative technologies that enable IT professionals to perform at an expert level despite not having sufficient IT staff with […] […]

In interviews with defense reporters last week, the Department of Defense said it is using artificial intelligence (AI) and machine learning (ML) to look for patterns or give advance notice on possible hotspots for the spread of the novel Coronavirus.






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U.S. Army and industry researchers have developed a metric for neural networks that will measure next generation AI and machine learning (ML) algorithms’ reliability.






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When it comes to adopting artificial intelligence (AI) and machine learning (ML) capabilities, it’s important to look at its range of effects from many different viewpoints.






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The desire to make the employees of the Central Intelligence Agency (CIA) more efficient in their work led to the creation of a Robotics Process Automation Center of Excellence, explained Pam Dempsey, the center’s lead.






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Alexander Kott, chief scientist at the U.S. Army Research Laboratory, said Wednesday at the Defense Systems Summit that creating artificial intelligence (AI) and machine learning (ML) solutions for complex battlefield environments requires different prioritization than commercial solutions, and offered four tips for defense organizations looking to implement.






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