IARPA in the News


Have you ever found yourself overlooking a stunning vista or landscape, only to find that Instagrams bundle of filters don't do the beautiful scene justice? A group of researchers want to change that.


After analyzing thousands of webcam snapshots of landscapes in various weather conditions, computer scientists at Brown University have developed a system that can automatically change the appearance of weather in nearly any outdoor photo.

SIGNAL Magazine

We’ve all seen those scenes in spy movies where intelligence analysts scrutinize a photograph, looking at the buildings, the plants, vehicles or visible wildlife to deduce where the picture was taken because, of course, doing so is critical to discovering the bad guy’s whereabouts and saving the planet. In real-life, the Intelligence Advanced Research Projects Activity (IARPA) Finder program is designed to help analysts locate non-geotagged imagery, whether photographs or video.


Many quantum phenomena are too complicated to be modelled on conventional computers. Quantum simulations, in which a simple and controllable quantum system models a more complicated one, are emerging as a viable alternative. Here, Andrew Wilson and colleagues describe a new controllable scheme for quantum entanglement that can emulate spin–spin interactions using two trapped ions. Further developments incorporating this technology in arrays of perhaps tens of ions may be sufficiently powerful to achieve quantum simulations of exotic condensed matter phenomena like the quantum Hall effect.

Executive Gov

The Intelligence Advanced Research Projects Activity has asked industry to propose ideas for developing neural tools and methods to predict a person’s cognitive performance in different settings.


Can a tool or technology be applied to the brain and accurately predict out of a given group of people who will be the smartest?

FedTech Magazine

Video analytics — the automated analysis of terabytes of video content — has a proven track record helping investigators to glean information from surveillance cameras, recognize faces in a crowd or zoom in on the license plates of suspects. However, researchers know they need more advanced capabilities and software algorithms to go beyond detection and tracking and really understand the relationships between objects in video footage.