Leaders in the Federal intelligence community, speaking last Tuesday at Defense One’s Tech Summit, said that their agencies are using vast stores of data, machine learning, and neural networks to go beyond simple fact-finding, to now radically re-envision how the intelligence community acts on credible information. But with these advances in technology come thorny new ethical and procedural questions, those officials said. […]

The Pentagon’s top research arm is sponsoring development of a first-of-its-kind software that can model the events that contribute to conflicts around the world, and, if not quite predict the future, at least offer a timely heads-up on what might happen next.






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The possibilities of quantum computing have been floating on the horizon for a while now, at least since renowned physicist Richard Feynman dreamed up the idea in 1982. But like the horizon itself (at least in a world that isn’t flat), it always seems to recede despite all efforts to close in on it. Until now.






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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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Users have the reputation of being the weakest link in cybersecurity, because of their potential to undo the most fortified cyber setup with an exposed password or absent-minded click in a phishing email. They’re the guy who forgets to lock one door in an otherwise secure building, or the kid who unwittingly reveals where the family keeps an emergency house key.






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Artificial intelligence has been applied to everything from cybersecurity and financial management to human resources and self-driving cars, so it seemed only a matter of time before it could take over video surveillance duties. And while AI, machine learning, and neural networks have made some promising strides in this area, it’s not quite the slam dunk that it might seem.






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Secrets have always been the lifeblood of the spy game. However, sometimes it pays to know what everyone else does. To that end, agencies are learning that crowdsourced information can prove to be a good predictor of upcoming events.






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