With the Internet for transportation, a lie can get all the way around the world before truth can blink itself awake. And that’s a challenge for those who seek to stem the proliferation of false information, be it accidentally misattributed quotes, political propaganda, or malicious “fake news.” Artificial intelligence can help combat the problem, by using machine learning algorithms to detect the patterns used in phony stories and ads designed to stir up fear or outrage, or, in the case of Russian disinformation, unsettle people’s faith in American institutions. […]

When it comes to Artificial Intelligence (AI) regulations, should the government focus on protecting the rights of its citizens or position the United States as a global leader on the technology? This was the central question during the Senate Subcommittee on Communications, Technology, Innovation, and the Internet’s Dec. 12 hearing.






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The Defense Department (DoD) is leading the brain-computer interface charge within government, recently investing $65 million across six projects. Each of these projects will work to develop high-resolution neural interfaces and working systems that could help in sensory restoration, specifically in these projects with regard to sight and speech. The contractors–five research organizations and one private company–will work under the Defense Advanced Research Project Agency’s (DARPA) Neural Engineering System Design (NESD) program, which was launched in 2016 with the goal of developing an implantable neural interface able to deliver high-bandwidth data transfers between the brain and electronics systems.






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Kevin Cox is Jon Snow in the war against cyber threats–for the cyber night is here and full of terrors. And, winter isn’t coming–it’s already here. As Continuous Diagnostics and Mitigation (CDM) rounds out phases I and II, our government needs automation, artificial intelligence (AI) and machine learning (ML) to hold back the ugly cyber hoards. AI, ML, and cloud are the dragons, dragon glass, and Valyrian steel that the Department of Homeland Security (DHS) needs to combat the hacking white walkers. Okay, so how to separate fact from fairytale?






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Artificial intelligence (AI) systems are getting awfully good at the Who, What, When, Where and even How for a variety of jobs, from military operations to financial transactions to medical diagnosis and treatment. But the Why is another story.






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Pandemic threats such as Ebola, Zika, and avian flu are not only a danger to public health, but are also viewed as potential national security threats, as the National Intelligence Council, an arm of the Director of National Intelligence, points out in its 2017 report, Global Trends: Paradox of Progress.






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For military analysts struggling to make proper use of millions of hours of full-motion video from drones, the cavalry will begin arriving this month, in the form of computer vision algorithms developed under the Department of Defense’s (DoD) Project Maven.






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The Army and Navy recently announced that their Cyber Mission Teams were fully operational, and the U.S. Cyber Command now has all of their planned complement of 133 teams in business. With its people (totaling more than 6,000 service members and civilians) in place, U.S. cyber forces can now look to machines to help carry out effective operations in the cyber domain.






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As Feds get smarter about Artificial Intelligence on the cyber frontier, seems agencies’ IT defenders are suffering from schizophrenia about cyber cyborgs. That’s the topline takeaway from the new MeriTalk “Federal Cyber AI IQ Test” study.






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With $5 billion in global revenue, Symantec is the 500 pound yellow gorilla in the cybersecurity business. Some dimensions on the beast: installed at every Federal cabinet-level agency; supports 350,000 customers; tracks 700,000 hackers; and leverages more than nine trillion elements of security data. Now, that’s a big monkey.






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