Disruptive technologies such as artificial intelligence (AI) and the Internet of Things (IoT) can help Federal agencies better utilize their data to improve processes, public and private sector technology officials said  during a FedInsider webinar on July 25. […]

The Department of Defense is taking a more concerted approach to the development and use of artificial intelligence (AI) by bringing AI projects under one roof and emphasizing the importance of working with industry and academia. At the same time, DoD is also recognizing that it needs to give ethics a seat at the table.






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In the push to keep Federal IT systems secure, cybersecurity teams find themselves overloaded with information and tools and would like to see automation help them turn information into actionable intelligence, IT and industry leaders said during a FedInsider webinar on July 19.






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After the National Defense Authorization Act (NDAA) for FY 2019 cleared a major hurdle late yesterday with the release of a conference report that reconciles differences between House and Senate versions of the bills, techies across the Federal government are finding that IT modernization and innovation amendments for the Pentagon fared well in the legislation.






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The National Defense Authorization Act (NDAA) for FY 2019 took a big step toward passage with the release of the conference report late yesterday that unifies House and Senate NDAA legislation and places in sharp focus concerns about growing cyber and electronic warfare threats and ways that the United States should address them.






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The Hide ‘N Seek (HNS) Internet of Things (IoT) botnet, which initially targeted home routers, IP cameras, and video recorders, has been expanded by cybercriminals to target two NoSQL database servers, making it a cross-platform botnet.






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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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Department of Defense (DoD) Chief Information Officer Dana Deasy said today at the Defense Systems Summit that he has identified four “key strategic areas” that will work to support the National Defense Strategy (NDS). Those four areas – cloud, artificial intelligence, C3 (command, control, and communications), and cybersecurity – are organized not in order of importance, but rather “order of integration,” Deasy said, with each of the priorities flowing from the prior one.






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Director of National Intelligence Dan Coats said Monday that the intelligence community (IC) will be prioritizing a comprehensive cyber posture, machine-augmented intelligence, and modern data management as “foundational priorities” in the coming years, following a year-long reexamination of the IC known as the IC2025 initiative.






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The Department of Homeland Security’s Science and Technology Directorate and the Transportation Security Administration announced the winners of their passenger screening algorithm challenge that solicited new automated detection algorithms to improve speed and accuracy of detecting “small threat objects” during airport passenger screening processes.






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The White House isn’t doing enough to address in a public forum a range of artificial intelligence issues and needs to institute a public process to seek comments on AI-related issues, said a group of six industry groups and more than 80 individuals from academia and the private sector in a July 4 letter to the White House Office of Science and Technology Policy (OSTP).






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The Department of Homeland Security (DHS) is piloting a new artificial intelligence (AI) initiative with Canada’s Department of National Defense that kicked off today and aims to provide first responders and paramedics with information to help make potential life-saving decisions in the field.






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The potential of artificial intelligence opens up the abundant future of game-changing machine-based applications in science, medicine, national defense, business, and just about every other area. But getting there while maintaining the U.S. lead in AI research and development will hinge on two old-school constants of innovation: money and people.






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Deputy Defense Secretary Patrick Shanahan last Wednesday issued a memorandum that officially establishes the Defense Department’s (DoD) new Joint Artificial Intelligence Center (JAIC), confirming statements made by Secretary James Mattis and other DoD officials in April that a center to house DoD’s roughly 600 AI projects was forthcoming.






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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 Department of Defense (DoD) is using big data analytics and automated intelligence to both uncover discrepancies in budget-draining programs and engage leadership to direct funding to the correct priorities, according to a former Deputy Secretary of Defense and the founder of a business intelligence firm that supports the Pentagon.






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Josh Marcuse, executive director of the Defense Innovation Board (DIB), said today at Defense One’s Tech Summit that both Silicon Valley engineers and national defense community members are stuck in a line of thinking about artificial intelligence (AI) and warfighting innovation that could impact safety and contribute to greater risk on the battlefield.






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