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).
In the age of machine learning, there’s a fine line between collecting enough employee data for insider threat programs and ensuring personal privacy, a line that Americans may have to culturally define in the near future, according to experts speaking at an Intelligence and National Security Alliance (INSA) event on Monday. “Are we willing to […] […]
The White House Office of Science and Technology Policy announced a series of workshops on artificial intelligence and machine learning, plus recognizing the opportunities and risks involved with this technology.[…]
The size of the digital universe will grow to 176 zettabytes by 2025 – leading to a future of machine learning. James Harris, CTO, Defense Intelligence Agency, and Jason Matheny, Director, Intelligence Advanced Research Projects Activity, joined Defense One on a live webcast on how the future of digital information will intersect with the future of intelligence collection and analysis.[…]