The Department of Transportation (DoT) is seeking research from companies and universities in the Arlington, Va., area to develop artificial intelligence (AI) applications for the use of autonomous drones. […]

AI Cyber World machine learning-min

Industry partners would like more clarity and more Federal support of artificial intelligence (AI) as part of the upcoming update to the 2016 National Artificial Intelligence Research and Development Strategic Plan. This request came in the recently released responses to the request for information for the update.






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cloud cyber modernization AI
GAO government accountability office

The benefits of Software Defined Everything (SDE) – in which a physical infrastructure is virtualized and delivered as services on demand – will change the way we design, build, and test new applications. In a virtual environment, operational costs drop precipitously as the pace of innovation accelerates. Containerization – a way to virtually run separate […] […]

quantum computing chip ai -min

Artificial intelligence (AI) machines can out-think humans when it comes to a lot of complex, fine-grained tasks, such as detecting signs of cancer more accurately than doctors can, or finding exoplanets based on “dimming effect” data from distant solar systems. But what they don’t have is good old common sense, the ability to apply its knowledge, and the experience to various tasks humans can do from childhood.






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Machine learning AI modernization

The Department of Homeland Security’s (DHS) Science and Technology Directorate (S&T) recently founded an artificial intelligence (AI) community of interest (COI) for anyone in DHS with an “interest in the subject.”






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Military AI DoD Defense

Pentagon officials have been pretty clear about their belief that artificial intelligence is changing the game for military operations, saying that AI will penetrate “every corner” of the Department of Defense, in the words of Brendan McCord, head of machine learning at the Defense Innovation Unit. DoD Chief Information Officer Dana Deasy lists AI among his four most important strategic areas. Defense Secretary James Mattis reportedly pushed for a “whole of country” approach earlier this year as the White House was announcing its Select Committee on Artificial Intelligence.






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U.S. Patent Trademark Office USPTO Commerce

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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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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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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The State Department on Friday held the fourth United States-Republic of Korea Information and Communication Technology (ICT) Policy Forum in Seoul, South Korea, which brought together private sector representatives and delegations from the two nations to discuss how the countries can collaborate to advance mutual goals in areas of 5G mobile technology, artificial intelligence, inclusive Internet governance, and data privacy.






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Federal agencies and private sector firms are easing into intelligent automation (IA) technologies by first using those technologies to tackle repetitive processes and then moving closer to artificial intelligence (AI) applications, government and private sector officials said last week.






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