We sat down with Jeff Henry, president of ViON, in his office in Herndon, Va. The typical tech provider surroundings belied the epic changes at ViON, as it morphs from leading data center reseller to delivering government IT modernization as a service. […]

Military users will soon see a tenfold boost in the Department of Defense’s telecommunications network, in a move that will support the service’s combatant commands, the Joint Information Environment (JIE), and in the process, DoD’s push toward commercial cloud services.






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The U.S. Cyber Command is ready for its close-up. The command announced May 17 that all 133 of its Cyber Mission Teams are fully operational, capping a roughly one-month stretch that saw the arrival of a new commander, the opening of a new operations center, and the official designation of Cybercom as a full unified combatant command.






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An official with data storage technologies provider Pure Storage told MeriTalk that issues holding back Federal government adoption of artificial intelligence (AI) technologies include the high cost of super-computing resources and the continued reliance of government agencies on legacy IT systems that were not created with AI applications in mind.






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The White House’s planned advisory committee on artificial intelligence may or may not help keep the country at the forefront of technological innovation, but it is another sign that the government is getting more serious about the importance of AI and the potential threats of falling behind in the “AI arms race.”






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How do you spell the future of government IT? AI. While that’s not going to get you too many points on the triple word score in Scrabble, the technology and applications will unscramble massive dividends in cost savings, service enhancements, and breakthroughs.






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The White House said on Thursday that it will create a new artificial intelligence (AI) advisory committee–dubbed the Select Committee on Artificial Intelligence–that will advise the White House on AI research and development efforts in government and industry.






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Machine learning innovation is kicking into high gear. Investment in this field and data science increased 9.3 percent in 2016 to $2.4 billion, according to Gartner. On top of that, the Federal government is increasing its focus on machine learning, with the MGT Act, Technology Modernization Fund, and the President’s Management Agenda all supporting transformation efforts.






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The Pentagon is a very large building that houses a lot of the authorities for the U.S. Military. It's big. This photo doesn't do it justice, but they're kinda rightly concerned about people flying drones around there.

The Government Accountability Office–GAO–recently released a report on an artificial intelligence forum it held in Washington, D.C. last summer. It shows that government’s thinking about the ups and downs of thinking machines. Two highlights to make you think. 






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Scientists at the Army Research Laboratory (ARL) are covering some new ground in artificial intelligence (AI) by connecting a machine with human intelligence via a neural connection. Not to worry: the research team isn’t cooking up an AI system that will run the show inside a person’s head. But it does have promise for both medical as well as deep machine learning systems uses, potentially in military and everyday applications.






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The tactics of warfare aren’t what they used to be. In addition to asymmetric battlefield tactics that differ from conventional battles, they also can include cyber, social, economic, and psychological strategies that don’t necessarily involve physical combat or destruction–or even direct human involvement–and can’t be divined by tracking troop movements or fleet deployments. As a result, the signs of impending war aren’t what they used to be either.






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Artificial intelligence (AI) deployments in the Federal government are already making government smarter, based on examples shared during the second of a three-part series on AI launched last month by the House Subcommittee on Information Technology. Federal agency leaders from the Defense Advanced Research Projects Agency (DARPA), the General Services Administration (GSA), National Science Foundation (NSF), and Department of Homeland Security (DHS) discussed how AI is being implemented to improve the mission of their agencies and what is required to ensure the technology continues to be viewed as a problem solver.






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Like King Louie in the Jungle Book–Artificial Intelligence has to learn like people. Machine learning’s surely a brilliant student, but it’s still a slow learner. Once trained to recognize patterns, analyze huge amount of data, or interpret speech, they can do the job at lightning speed, often better than humans can. But the training part of that equation can be a labor and programming-intensive task, because machines still learn like machines–one thing at a time, often only after repeated instruction.






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Not all bots are bad. But in the wrong hands, botnets can be commanded to do some very nefarious things, like Distributed Denial of Service–DDoS–attacks to disrupt and bring down websites. There are also malware-based bots that are increasingly being used to steal data and personal information.






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