IARPA in the News

Defense One

The Facebook algorithm that auto-tags people in photographs might be slightly creepy, but also of interest to the intelligence community....The Intelligence Advanced Research Projects Activity’s “Face Recognition Prize Challenge” seeks algorithms that can accurately and quickly match a photo found in passive footage to another of the same individual from a gallery, as well as systems that can verify, or match, two images of the same person while rejecting photos of other individuals.



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).

IEEE Systems

Today’s artificial intelligence systems can destroy human champions at sophisticated games like chess, Go, and Texas Hold ’em. In flight simulators, they can shoot down top fighter pilots. They’re surpassing human doctors with more precise surgical stitching and more accurate cancer diagnoses. But there are some situations when a 3-year-old can easily defeat the fanciest AI in the world: when the contest involves a type of learning so routine that humans don’t even realize they’re doing it....The five-year program, funded to the tune of US $100 million by the Intelligence Advanced Research Projects Agency (IARPA), keeps a tight focus on the visual cortex, the part of the brain where much visual-information processing occurs.


In his book The Hardware Hacker, Andrew "bunnie" Huang dedicates a chapter to fake ICs and the methods by which counterfeit parts make their way into the supply chain. While fake parts cause problems in every sector of electronics manufacturing, it's a significant problem for military electronics....To address the problem, engineers at BAE Systems are developing a technology in conjunction with the Intelligence Advanced Research Projects Activity (IARPA) that will let them "see" into an IC's layers. The goal of the Rapid Analysis of Various Emerging Nanoelectronics (RAVEN) project is to develop a tabletop system that can detect a device's traces and interconnects with 10 nm resolution at any layer.


Military & Aerospace Electronics

U.S. intelligence experts are launching an initiative to develop space situational awareness precision imaging technology sufficient to gather high-resolution images of objects orbiting in geosynchronous orbit from installations on the ground. Officials of the U.S. Intelligence Advanced Research Projects Agency (IARPA) in Washington are briefing industry on the upcoming Amon-Hen program to produce images of objects in geosynchronous orbit, which is 22,236 miles above the Earth's surface. IARPA's Amon-Hen program seeks to develop ground-based GEO imaging that enables rapid collection of data for inteferometric image reconstruction of geosynchronous objects at low cost.

Biometric Update

The Intelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence (ODNI), has launched the Face Recognition Prize Challenge (FRPC) with a total of $50,000 in cash prizes.

FedTech Magazine

...By taking advantage of historical data, modeling, and machine learning to forecast the probability of an incident, predictive analytics may hold particular promise for cyberattack protection. Researchers in the Cyber-attack Automated Unconventional Sensor Environment (CAUSE) program, run by the Intelligence Advanced Research Projects Activity (IARPA), are spending more than three years developing new methods to help forecast attacks, including those in the planning stage.