Intelligence Advanced Research Projects Activity

The Intelligence Advanced Research Projects Activity (IARPA) is an organization within the Office of the Director of National Intelligence responsible for leading research to overcome difficult challenges relevant to the United States Intelligence Community.[1] IARPA characterizes its mission as follows: "To envision and lead high-risk, high-payoff research that delivers innovative technology for future overwhelming intelligence advantage."

Not to be confused with ARPA-I.
Intelligence Advanced Research Projects Activity
Agency overview
Formed2006
JurisdictionUnited States Government
HeadquartersIntelligence Community Campus-Bethesda
Agency executive
  • Catherine Marsh, Ph.D., Director
Parent agencyOffice of the Director of National Intelligence
WebsiteIARPA.gov

IARPA funds academic and industry research across a broad range of technical areas, including mathematics, computer science, physics, chemistry, biology, neuroscience, linguistics, political science, and cognitive psychology. Most IARPA research is unclassified and openly published. IARPA transfers successful research results and technologies to other government agencies. Notable IARPA investments include quantum computing,[2] superconducting computing, machine learning, and forecasting tournaments.

Mission

IARPA characterizes its mission as "to envision and lead high-risk, high-payoff research that delivers innovative technology for future overwhelming intelligence advantage".

History

In 1958, the first Advanced Research Projects Agency, or ARPA, was created in response to an unanticipated surprise—the Soviet Union's successful launch of Sputnik on October 4, 1957. The ARPA model was designed to anticipate and pre-empt technological surprise. As then-Secretary of Defense Neil McElroy said, "I want an agency that makes sure no important thing remains undone because it doesn’t fit somebody's mission." The ARPA model has been characterized by ambitious technical goals, competitively awarded research led by term-limited staff, and independent testing and evaluation.

Authorized by the ODNI in 2006, IARPA was modeled after DARPA but focused on national intelligence needs, rather than military needs. The agency was a consolidation of the National Security Agency's Disruptive Technology Office, the National Geospatial-Intelligence Agency's National Technology Alliance, and the Central Intelligence Agency's Intelligence Technology Innovation Center.[3] IARPA operations began on October 1, 2007 with Lisa Porter as founding Director. Its headquarters, a new building in M Square, the University of Maryland's research park in Riverdale Park, Maryland, was dedicated in April 2009.[4]

IARPA's quantum computing research was named Science magazine's Breakthrough of the Year in 2010.[5][6] In 2015, IARPA was named to lead foundational research and development in the National Strategic Computing Initiative. IARPA is also a part of other White House science and technology efforts, including the U.S. BRAIN Initiative, and the Nanotechnology-Inspired Grand Challenge for Future Computing.[7][8] In 2013, New York Times op-ed columnist David Brooks called IARPA "one of the government's most creative agencies."[9]

Approach

IARPA invests in multi-year research programs, in which academic and industry teams compete to solve a well-defined set of technical problems, regularly scored on a shared set of metrics and milestones. Each program is led by an IARPA Program Manager (PM) who is a term-limited Government employee. IARPA programs are meant to enable researchers to pursue ideas that are potentially disruptive to the status quo.

Most IARPA research is unclassified and openly published.[10] Former director Jason Matheny has stated the agency's goals of openness and external engagement to draw in expertise from academia and industry, or even individuals who "might be working in their basement on some data-science project and might have an idea for how to solve an important problem".[11] IARPA transfers successful research results and technologies to other government agencies.

Research fields

IARPA is known for its programs to fund research into anticipatory intelligence, using data science to make predictions about future events ranging from political elections to disease outbreaks to cyberattacks, some of which focus on open-source intelligence.[12][13][14] IARPA has pursued these objectives not only through traditional funding programs but also through tournaments[12][13] and prizes.[11] c is an example of one such program.[11][13] Other projects involve analysis of images or video that lacks metadata by directly analyzing the media's content itself. Examples given by IARPA include determining the location of an image by analyzing features such as placement of trees or a mountain skyline, or determining whether a video is of a baseball game or a traffic jam.[11] Another program focuses on developing speech recognition tools that can transcribe arbitrary languages.[15]

IARPA is also involved in high-performance computing and alternative computing methods. In 2015, IARPA was named as one of two foundational research and development agencies in the National Strategic Computing Initiative, with the specific charge of "future computing paradigms offering an alternative to standard semiconductor computing technologies". One such approach is cryogenic superconducting computing, which seeks to use superconductors such as niobium rather than semiconductors to reduce the energy consumption of future exascale supercomputers.[11][15]

Several programs at IARPA focus on quantum computing[2] and neuroscience.[16] IARPA is a major funder of quantum computing research due to its applications in quantum cryptography. As of 2009, IARPA was said to provide a large portion of quantum computing funding resources in the United States.[17] Quantum computing research funded by IARPA was named Science Magazine's Breakthrough of the Year in 2010,[5][6] and physicist David Wineland was a winner of the 2012 Nobel Prize in Physics for quantum computing research funded by IARPA.[11] IARPA is also involved in neuromorphic computation efforts as part of the U.S. BRAIN Initiative and the National Nanotechnology Initiative's Grand Challenge for Future Computing. IARPA's MICrONS project seeks to reverse engineer one cubic millimeter of brain tissue and use insights from its study to improve machine learning and artificial intelligence.[7][8]

Research programs

Below are some of the past and current research programs of IARPA.

Past research
  • Aggregative Contingent Estimation (ACE) Program aimed "to dramatically enhance the accuracy, precision, and timeliness of intelligence forecasts for a broad range of event types, through the development of advanced techniques that elicit, weight, and combine the judgments of many intelligence analysts."[18]
  • ATHENA Program was a research program about cybersecurity.[19] It aimed "to provide an early warning system for detecting precursors to cyberattacks".[20]
  • Babel Program developed "agile and robust speech recognition technology that can be rapidly applied to any human language in order to provide effective search capability for analysts to efficiently process massive amounts of real-world recorded speech".[21] The program tries to develop a software that can transcribe and search among all the languages.[22][23]
  • Biometrics Exploitation Science & Technology (BEST) Program focused on "significantly advance the state-of-the-science for biometrics technologies".[24] It was to discover techniques on utilising biometric from a subject in a less controlled environment which could produce a similar result to that in a controlled environment.[25]
  • Synthetic Holographic Observation (SHO) Program's stated goal was "to enable full-parallax, full-color, high-resolution display of dynamic 3D data without head-gear, and possessing visually continuous perspectives without artifacts over wide viewing angles."[26]

Current research
  • Creation of Operationally Realistic 3-D Environments (CORE3D) aims to "develop rapid automated systems for 3-D models which are designed with complex physical properties and automated methods that will pull commercial, satellite, and airborne imagery."[27]
  • Crowdsourcing Evidence, Argumentation, Thinking and Evaluation (CREATE) Program is about "to develop, and experimentally test, systems that use crowdsourcing and structured analytic techniques to improve analytic reasoning".[28] It hopes to improve the intelligence community's ability on better understanding evidence and sources in order to produce accurate information.[29][30]
  • Deep Intermodal Video Analytics (DIVA) aims to "advance state-of-the-art artificial visual perception, and automate video monitoring."[31]
  • Functional Genomic and Computational Assessment of Threats (Fun GCAT) aims to "develop next-generation biological data tools to improve DNA sequence screening, augment biodefense capabilities through the characterization of threats, and advance our understanding of the relative risks posed by unknown sequences."[32]
  • Hybrid Forecasting Competition (HFC) aims to "improve accuracy in predicting worldwide geopolitical issues, including foreign political elections, interstate conflict, disease outbreaks, and economic indicators by leveraging the relative strengths of humans and machines."[33]
  • Machine Translation for English Retrieval of Information in Any Language (MATERIAL) aims to "develop and deploy fully automatic systems that will allow English-only speakers to accurately and efficiently identify foreign language documents of interest."[34]
  • Molecular Analyzer for Efficient Gas-phase Low-power Interrogation (MAEGLIN) aims to "develop a compact system capable of unattended environmental sampling and chemical identification with minimal (preferably no) consumables."[35]
  • Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) Program aims to develop "unobtrusive, passive, and persistent measurement to predict an individual’s job performance".[36] It designs and tests sensors which can collect data about monitoring employees' work performance.[37][38][39]
  • Rapid Analysis of Various Emerging Nano-electronics (RAVEN) aims to "develop tools to rapidly image current and future integrated circuit chips."[40]
  • Space-based Machine Automated Recognition Technique (SMART) program[41]

Directors

See also

References
  1. "About IARPA". IARPA. Archived from the original on 2016-03-14. Retrieved 2016-03-12.
  2. "Quantum programs at IARPA". Archived from the original on 2017-10-04. Retrieved 2017-06-20.
  3. Lawlor, Maryann (October 2007). "Igniting a Technical Renaissance". Afcea International. AFCEA.
  4. "IARPA dedicates a permanent home on the campus of U Maryland" (Press release). Homeland Security News Wire. 2009-04-29. Retrieved 2015-12-15.
  5. Ford, Matt (2010-12-23). "Science's breakthrough of 2010: A visible quantum device". Ars Technica. Retrieved 2016-03-31.
  6. O’Connell, A. D.; Hofheinz, M.; Ansmann, M.; Bialczak, Radoslaw C.; Lenander, M.; Lucero, Erik; Neeley, M.; Sank, D.; Wang, H. (April 2010). "Quantum ground state and single-phonon control of a mechanical resonator". Nature. 464 (7289): 697–703. Bibcode:2010Natur.464..697O. doi:10.1038/nature08967. PMID 20237473. S2CID 4412475.
  7. Cepelewicz, Jordana (2016-03-08). "The U.S. Government Launches a $100-Million "Apollo Project of the Brain"". Scientific American. Retrieved 2016-03-12.
  8. Whitman, Lloyd; Bryant, Randy; Kalil, Tom (2015-10-30). "A Nanotechnology-Inspired Grand Challenge for Future Computing". whitehouse.gov. Retrieved 2016-05-01 – via National Archives.
  9. Brooks, David (2013-03-21). "Forecasting Fox". The New York Times. ISSN 0362-4331. Retrieved 2016-03-12.
  10. Jason Matheny interviewed on the TV show Triangulation on the TWiT.tv network
  11. Harbert, Tam (2015-10-19). "IARPA's New Director Wants You to Surprise Him". IEEE Spectrum. Retrieved 2016-03-31.
  12. Corrin, Amber (2015-11-02). "How IARPA predicts the unpredictable". Federal Times. Retrieved 2016-03-31.
  13. Corrin, Amber (2015-09-23). "IARPA's high-stakes intelligence experiment". C4ISR & Networks. Archived from the original on 2017-06-21. Retrieved 2016-03-31.
  14. Drummond, Katie (2010-10-01). "U.S. Spies Want Algorithms to Spot Hot Trends". WIRED. Retrieved 2016-03-31.
  15. Belfiore, Michael (2015-09-23). "What They're Building Inside America's Secret Spy Lab". Popular Mechanics. Retrieved 2016-03-31.
  16. "Neuroscience Programs at IARPA". IARPA. Archived from the original on 2016-03-20. Retrieved 2016-03-31.
  17. Weinberger, Sharon (2009-06-03). "Spooky research cuts". Nature. 459 (7247): 625. doi:10.1038/459625a. PMID 19494878.
  18. "ACE". www.iarpa.gov. Retrieved 2017-03-12.
  19. "ATHENA". www.iarpa.gov. Retrieved 2017-03-12.
  20. "Lifeboat News: The Blog". lifeboat.com. 29 September 2016. Retrieved 2017-03-12.
  21. "Babel". www.iarpa.gov. Retrieved 2017-03-13.
  22. "What They're Building Inside America's Secret Spy Lab". Popular Mechanics. 2015-09-23. Retrieved 2017-03-13.
  23. "What Happens When Spies Can Eavesdrop on Any Conversation?". Defense One. Retrieved 2017-03-13.
  24. "BEST". www.iarpa.gov. Retrieved 2017-03-12.
  25. "IARPA seeks BEST biometrics". Biometric Technology Today. 17 (2): 3–4. 2009-02-01. doi:10.1016/S0969-4765(09)70045-1.
  26. "Synthetic Holographic Observation (SHO)". Office of the Director of National Intelligence. 2011. Retrieved December 3, 2020.
  27. "CORE3D". www.dni.gov. Retrieved 2018-04-04.
  28. "CREATE". www.iarpa.gov. Retrieved 2017-03-13.
  29. "Leveraging the wisdom (and ignorance) of crowds". GCN. Archived from the original on 2017-03-13. Retrieved 2017-03-13.
  30. "Data Analytics Key to Complex Intelligence Decisions, Says IARPA Director – MeriTalk". www.meritalk.com. Retrieved 2017-03-13.
  31. "DIVA". www.dni.gov. Retrieved 2018-04-04.
  32. "FunGCAT". www.dni.gov. Retrieved 2018-04-04.
  33. "HFC". www.dni.gov. Retrieved 2018-04-04.
  34. "MATERIAL". www.dni.gov. Retrieved 2018-04-04.
  35. "MAEGLIN". www.dni.gov. Retrieved 2018-04-04.
  36. "MOSAIC". www.iarpa.gov. Retrieved 2017-03-13.
  37. "IC wants sensors to evaluate personnel performance". FCW. Archived from the original on 2017-03-13. Retrieved 2017-03-13.
  38. "The Intelligence Community Will Monitor Wearables to Find the Perfect Spy". Nextgov. Retrieved 2017-03-13.
  39. "U.S. government proposes the permanent job interview". The Stack. 2016-10-19. Retrieved 2017-03-13.
  40. "RAVEN". www.dni.gov. Retrieved 2018-04-04.
  41. "BlackSky Wins IARPA Award to Support Analysis Automation Project SMART". Via Satellite. 2022-07-14. Retrieved 2022-07-15.
  42. Dizard III, Wilson P. (2007-08-14). "Master spy agency promotes Nixon". GCN. Archived from the original on 2016-03-15. Retrieved 2016-03-15.
  43. Lais, Sami (2008-03-24). "The Future of Intelligence". Defense Systems. Archived from the original on 2016-03-15. Retrieved 2016-03-15.
  44. Stegon, David (2012-09-04). "Highnam named IARPA director". FedScoop. Retrieved 2016-03-15.
  45. Otto, Greg (2015-08-03). "Jason Matheny named IARPA director". FedScoop. Retrieved 2016-03-15.
  46. "DNI Coats Names New IARPA Director". www.odni.gov. Retrieved 2019-01-26.
  47. "ODNI Welcomes Dr. Catherine Marsh as Director of IARPA". www.odni.gov. Retrieved 2019-11-26.

Further reading
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.