As the Defense Advanced Research Projects Agency (DARPA) continues exploring emerging technologies for the Department of Defense, it’s considering the implementation of artificial intelligence (AI) to tackle electric grid cybersecurity and get ahead of 5G deployment. […]

The U.S. Army is seeing success in implementing machine learning (ML)— evidenced by improved classification of previously unknown data by 20 percent— and is developing a workforce culture where artificial intelligence (AI) adoption is possible.






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The General Services Administration (GSA) and the Department of Defense’s (DoD) Joint Artificial Intelligence Center (JAIC) today announced that their Center of Excellence (CoE) effort has achieved new milestones in leveraging data as a strategic asset while advancing AI tech across DoD.






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General Motors CEO Mary Barra emphasized at the RSA security conference this week that development of robust cybersecurity technologies for the automotive sector is a crucial factor in the industry-wide push toward autonomous driving technologies and eventually fully self-driving vehicles.






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Pentagon Military Defense DoD

The Department of Defense (DoD) Joint Artificial Intelligence (AI) Center (JAIC) selected Alka Patel, a pull from the private sector with “diverse skills and experience” to help lead its ethical AI adoption, per JAIC spokesperson Lt. Cmdr. Arlo Abrahamson on Feb. 28.






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White House flag at half mast

At a Feb. 27 House Science, Space, and Technology Committee hearing, representatives largely criticized the President’s Fiscal Year 2021 budget proposal for cuts to investments in research and development (R&D), but praised funding increases to “industries of the future” like artificial intelligence (AI) and quantum information science (QIS). 






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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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A group of graduate researchers from the University of California-Berkeley trained a machine learning model to predict voter preferences using only readily available personal information, suggesting further-reaching implications on the use of AI to infer voter behavior and potentially influence elections.






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Pentagon Military Defense DoD

The Department of Defense (DoD) officially adopted the Defense Innovation Board’s (DIB) ethical artificial intelligence (AI) principles Feb. 24.






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Artificial intelligence (AI) is ripe to revolutionize the workforce and the process of human-machine teaming, but funding, organizational application, and experimentation must accelerate in order for it to become a reality, posited Steve Harris, senior vice president and general manager of Dell Technologies Federal.






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The Government Accountability Office (GAO) released a report on deepfakes, a technology which uses artificial intelligence (AI) and can depict someone appearing to say or do something they never did.






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Brookings AI event
European union EU-min

The European Union (EU) released a white paper on artificial intelligence (AI) and its continentwide data strategy Feb. 19 in an effort to position itself as the “global leader of digital transformation.”






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