IARPA in the News 2016

Pittsburgh Post-Gazette

Carnegie Mellon University will study the mouse brain to better understand complex neural networks and feedback loops it, and our own brains, use in processing visual information. Once understood, those details could lead to mathematical models and algorithms to advance machine learning and artificial intelligence. The project is part of President Barack Obama’s brain initiative programs to revolutionize understanding of the brain. The federal Intelligence Advanced Research Projects Activity, through its Machine Intelligence from Cortical Networks program...


Depending upon your perspective Artificial Intelligence is stuck in the doldrums. Its long touted promise has yet to materialize and instead produced boom-bust cycles of grand expectations followed by disappointing results. Maybe the problem isn’t the algorithms but training data sets. This is the latest message from IARPA which has issued a request for information (RFI) for “Novel Training Datasets and Environments to Advance Artificial Intelligence.”


About 5 years ago, neuroscientist Tony Zador saw a slide at a scientific meeting that changed the course of his career. It showed a slice of mouse brain tissue containing a bright rainbow of neurons....Zador was struck by an idea: If he could replace the half-dozen distinct colors with a label consisting of, say, 30 random nucleotides—the building blocks of RNA and DNA—he could give unique barcodes to an almost infinite number of neurons.... The U.S. government is placing a large bet on Zador's method. As part of a project...under the Machine Intelligence from Cortical Networks, or MICrONS, program, sponsored by the Intelligence Advanced Research Projects Activity (IARPA).


In a new request for information, the Intelligence Advanced Research Projects Activity -- part of the Office of the Director of National Intelligence -- wants ideas for data sets, virtual environments and other training resources that could help artificial intelligence algorithms evolve.

The Tartan

Carnegie Mellon researcher Tai-Sing Lee, a professor in the Computer Science Department and the Center for the Neural Basis of Cognition (CNBC), will attempt to reverse-engineer the brain in order to try and reveal its learning methods and apply them to advancing machine learning algorithms....This research is made possible through funding from the Intelligence Advanced Research Projects Activity (IARPA) through its Machine Intelligence from Cortical Networks (MICrONS) research plan.