Machine learning

August 21, 2017
By Robert K. Ackerman

Geospatial imagery as well as facial recognition and other biometrics are driving the intelligence community’s research into artificial intelligence. Other intelligence activities, such as human language translation and event warning and forecasting, also stand to gain from advances being pursued in government, academic and industry research programs funded by the community’s research arm.

The Intelligence Advanced Research Projects Activity (IARPA) is working toward breakthroughs in artificial intelligence, or AI, through a number of research programs. All these AI programs tap expertise in government, industry or academia.

July 31, 2017
By Julianne Simpson

Someone’s always watching. In malls, stadiums, train stations, parking garages, airports—security cameras are everywhere. But with so much information flowing in, it can be challenging for the people in the control rooms monitoring activity to catch every little detail. And surprisingly, most mainstream video security technology lacks sound, color or both. That’s where Chongeun Lee, a MITRE engineer specializing in biometrics, comes in.

July 7, 2017
By Maryann Lawlor
Robert Dixon, special adviser for innovation, DIA, announces the agency’s third industry day series set for August 2-3 at Joint Base Anacostia-Bolling, Washington, D.C.

Leveraging artificial intelligence and machine learning is a hot topic for the Defense Intelligence Agency (DIA), and the agency isn’t letting conventional thinking stand in the way of finding innovative ideas. The upcoming Director’s 3rd Quarterly Industry Day is just one example. From planning to execution, the two-day event is designed to find new capabilities and business processes from the private sector and academia.

January 24, 2017
 

U.S. intelligence community researchers need technology capable of retrieving information from a multilingual repository and converting the data into English.

The Intelligence Advanced Research Projects Activity (IARPA) released a broad agency announcement late last week for the Machine Translation for English Retrieval of Information in Any Language (MATERIAL) program. The program aims to develop an English-in, English-out capability in which questions asked in English are answered the same way. Proposals are due March 20.

December 9, 2016
By Rob Morrow

Right at this moment, hundreds of U.S. government analysts are trying to solve the exact same problem. Each is tackling a number of major national and international security issues, from cyberthreats to terrorism, global health crises and public safety problems. Without easy, trusted data sharing, these analysts, who the nation relies on to solve the most challenging of worries, cannot benefit from shared knowledge—a hurdle that adds to inefficiencies fostered by redundancies, reinforcing the public’s perception of ineffective federal bureaucracy.

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