IARPA in the News 2017
IARPA wants those foreign document translated...and fast
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The intelligence community’s research arm announced it awarded four organizations research contracts under a language processing software program.
IARPA Launches “MATERIAL” Program
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WASHINGTON – The Intelligence Advanced Research Projects Activity, within the Office of the Director of National Intelligence, announces today a multi-year research effort to develop language processing software, known as Machine Translation for English Retrieval of Information in Any Language...
IARPA Throws Down an AI Challenge for Spy Satellite Images
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IARPA Throws Down an AI Challenge for Spy Satellite Images
The Intelligence Advanced Research Projects Activity (IARPA) is upping the ante in automated analysis of satellite images, offering $100,000 in prizes in a competition designed to spawn breakthroughs in imagery analysis.
Global Rethinkers -- Jason Matheny
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In the James Bond films, “Q” was the agent in charge of the British intelligence service’s secretive research division where scientists invented spy gadgets, such as cyanide cigarettes and ski pole guns. Jason Matheny is something of a real-life, modern-day Q — a scientist to the spies. But instead of developing poison fountain pens, his purview covers complex research topics including quantum computing, biological weapons, nuclear proliferation, and neuroscience. Matheny is the head of the Intelligence Advanced Research Projects Activity (IARPA), a U.S. government agency formed in 2006 that funds the development of predictive technology in order to ward off impending global crises and conflicts, as well as highlight potential opportunities where the United States could gain an intelligence edge on its competitors.
News on Superconducting Computing Tech for Intel Community
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A Raytheon BBN Technologies-led team is developing prototype cryogenic memory arrays and a scalable control architecture under an award from the Intelligence Advanced Research Projects Activity (IARPA) Cryogenic Computing Complexity (C3) program.
Johns Hopkins APL and University Students Join Forces to Map the Brain
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Researchers from the Johns Hopkins University Applied Physics Laboratory (APL) partnered with Johns Hopkins University students this summer on a pilot program called CIRCUIT (Connectomics Institute for Reconstructing Cortex: Understanding Intelligence Together). The ten-week summer internship program combined a sponsored research opportunity to map the brain to nanoscale resolution, intensive training, and mentor support. CIRCUIT undergraduate students from a variety of academic backgrounds collaborated to help proofread brain maps that were generated through the Intelligence Advanced Research Projects Activity (IARPA) Machine Intelligence from Cortical Networks (MICrONS) program.
Use What's Known to Get the Unknowns
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The U.S. intelligence community has long considered its mission as the gatherer of secrets. But sometimes insights are hiding in plain sight among tweets, blog posts, online videos, newspaper articles, academic journals and public records. Leveraging such open source information can greatly enhance our understanding of the world and critical events with national security implications. The Cipher Brief’s Levi Maxey spoke with Jason Matheny, the director of Intelligence Advanced Research Projects Activity (IARPA), the U.S. intelligence community’s over-the-horizon research and development wing, about the value the intelligence community places on open source data.
Wanted: AI That Can Spy
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Spy satellites and their commercial cousins orbit Earth like a swarm of space paparazzi, capturing tens of terabytes of images every day. ... The data is provided by the U.S. Intelligence Advanced Research Projects Activity (IARPA). The 10 finalists will see their AI algorithms scored against a hidden data set of satellite imagery when the challenge closes at the end of December.
Facial recognition improving 'at breakneck speeds'
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For all the news coverage of facial recognition technology, it's currently just not that good. “Traditionally, face recognition software has worked very well on what I would call highly controlled photos,” said Chris Boehnen, a program manager with the Intelligence Advanced Research Projects Activity. Those would include pictures where the subject is looking at the camera and where there is good lighting, like a drivers license, visa or mugshot picture.
