IARPA in the News


CAMERAS are strewn around our environment, catching glimpses of our faces everywhere we go, yet even the best facial recognition technology still has a hard time picking us out of the crowd. So the US government's Intelligence Advanced Research Projects Activity (IARPA) has called for a new approach. The agency announced a contest on 8 November, challenging teams of the country's top researchers to revolutionise how machines recognise people. Those entering the competition already know that conventional facial recognition won't cut it.


Cups are for drinking and can hold water, tea or coffee. That is how our brain conceptualizes entities and their relationships and properties. Our brain uses its relationship of conceptual knowledge to solve problems and make inferences. Now, when you think national intelligence, your first conceptualization probably isn’t the Intelligence Advanced Research Projects Activity, but the agency within the Office of the Director of National Intelligence announced Nov. 26 it is embarking on a multiyear research effort to learn more about how our brain represents conceptual knowledge.


The Intelligence Advanced Research Projects Activity has launched a research project to explore the human brain’s conceptual knowledge in a move aimed at helping the intelligence community analyze data. IARPA intends for the multi-year Knowledge Representation in Neural Systems program to identify how the brain organizes conceptual knowledge in order to build new tools and techniques for intelligence analysts and linguists, the Office of the Director of National Intelligence said Monday.

The New Yorker

In 1982, the decision analysts Marc Alpert and Howard Raiffa asked students in their classes at Harvard to estimate figures like the number of eggs produced daily in the United States. They were each asked to give a range so wide that they believed there was a ninety-eight-per-cent chance it would include the right answer. Instead, the correct figures fell inside the students’ ranges less than a third of the time.


Like a lot of fellow geopolitics and technology trend spotters, we have maintained a keen interest in the projections the US National Intelligence Council (NIC) makes public every five years or so. These projections typically try to gaze into the analytical crystal ball and predict the shape of the world, the relative power structures and various scenarios for the medium term future (typically, fifteen years). The latest NIC report released late last year Global Trends 2030: Alternative Worlds has proved to be one of the most disseminated and read of such reports.

Military and Aerospace Electronics

Artificial intelligence experts at Teledyne Scientific & Imaging LLC in Thousand Oaks, Calif., are joining those at the Siemens Corp. Corporate Research And Technology Division in Princeton, N.J., Carnegie Mellon University in Pittsburgh and HRL Laboratories LLC in Malibu, Calif., on an intelligence research project to unlock secrets in the nature of knowledge in an effort to improve tools and training available to intelligence analysts.

The Washington Post

The Economist’s The World in 2014 issue just hit newsstands, focusing international attention on the geopolitical outcomes we can expect to see over the next 12-14 months. The issue features an article by University of Pennsylvania psychologist Phil Tetlock and journalist Dan Gardner on the Good Judgment Project, a research study funded by the Intelligence Advanced Research Projects Activity (IARPA, the U.S. government’s analog to DARPA), which makes such geopolitical predictions every day.