Machine learning and artificial intelligence are needed to bridge the gap between the volume of government intelligence data and the number of people capable of analyzing it, according to Jason Matheny, director of the Intelligence Advanced Research Project Activity (IARPA).
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Amit Lal, an electrical and computer engineering professor at Cornell University, is working with a group of students to create a device that can scan the surfaces of all 10 fingers in five minutes. His team is competing in the Intelligence Advanced Research Projects Activity’s Nail to Nail Fingerprint challenge.






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The Secret Service has an interesting class photo….The CIA is taking cues from the advertising technology industry….IARPA is investing in research into homomorphic encryption—a potential game-changer in the worlds of privacy and security that enables encrypted queries of encrypted databases….And synthetic biology is keeping Jason Matheny up at night.






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Six hundred people have registered for the Intelligence Advanced Research Projects Activity Multi-View Stereo 3D Mapping Challenge, which was announced on July 1. The Mapping Challenge invites people to submit 3-D maps created from IARPA’s vast data sets, most of which come from satellite images.






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