IARPA in the News


Over the next five years, Sandia National Laboratories will oversee the brain replication work of three university-led teams who aim to close the computer-human gap in object recognition....The Intelligence Advanced Research Projects Activity (IARPA)—the intelligence community’s version of DARPA—this year launched the Machine Intelligence from Cortical Networks (MICrONS) project, part of President Barack Obama’s BRAIN Initiative.

Scientific American

Behind every successful forward-looking decision stands a good prediction.... This is why the IARPA, a research arm of the U.S. intelligence agency, funded a large scientific study in crowd prediction.

Successful Farming

How much is it humanly possible to forecast future events on your farm?...To improve your forecasting skills, join thousands of other aspiring superforecasters on Good Judgment Open.

The Rockefeller University

No single neuron produces a thought or a behavior; anything the brain accomplishes is a vast collaborative effort between cells. When at work, neurons talk rapidly to one another, forming networks as they communicate. Researchers led by Rockefeller University’s Alipasha Vaziri are developing technology that would make it possible to record brain activity as it plays out across these networks.

Learning & Development Professional

Imagine that you could dramatically improve your firm’s forecasting ability, but to do so you’d have to expose just how unreliable its predictions – and the people making them – really are.


On January 12, IARPA posted a broad agency announcement (BAA) covering phases 2 and 3 of its HFGeo program. Proposals are due by February 20, 2015. Interested contractors should submit any questions by January 29, 2015.

Network World

Small satellites, sometimes called cubesats or just smallsats are a very popular way of getting inexpensive communications and surveillance into space quickly....The Intelligence Advanced Research Projects Activity (IARPA) will release satellite datasets as part of two prize-driven challenges to achieve breakthroughs in the analysis of overhead imagery.