1. Defense Acquisition Innovation Repository

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Results 1-10 of 20 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
2020-04-13Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits OpportunitiesJohnathan Mun; Tom Housel
2018-04-30Applying a DEVelopment OPerationS (DevOps) Reference Architecture to Accelerate Delivery of Emerging Technologies in Data Analytics, Deep Learning, and Artificial Intelligence to the Afloat U.S. NavyKurt Rothenhaus; Kristine De Soto; Emily Nguyen; Jeffrey Millard
2017-03-30Supply and Demand for Defense SoftwareDavid M. Tate
2018-04-30Applying a DEVelopmentOPerationS (DevOps) reference architecture to accelerate delivery of emerging technologies in Data Analytics, Deep Learning and Artificial Intelligence to the Afloat U.S. NavyK. Rothenhaus; Kris De Soto; Emily Nguyen; Jeff Millard
2018-04-30Acquisition Challenges of Autonomous SystemsDavid M. Tate; David A. Sparrow
2021-05-10Interdependence Analysis for Artificial Intelligence System SafetyBruce Nagy, Scot Miller
2021-05-10Leverage Artificial Intelligence to Learn, Optimize, and Wargame (LAILOW) for Navy ShipsYing Zhao, Gabe Mata; Erik Hemberg, Una May O'Reillu; Nate Derbinsky, Bruce Cormany; Joy Allen, Andrew Haley; Adam Hilliard
2021-05-10Increasing Confidence in Machine Learned (ML) Functional Behavior during Artificial Intelligence (AI) Development using Training Data Set MeasurementsBruce Nagy
2021-05-10Functional Hazard Analysis and Subsystem Hazard Analysis of Artificial Intelligence/Machine Learning Functions Within a Sandbox ProgramBruce Nagy, Loren Edwards; Gunendran Sivapragasam
2021-05-10Blockchain Data Management Benefits by Increasing Confidence in Datasets Supporting Artificial Intelligence (AI) and Analytical Tools using Supply Chain ExamplesAnthony Kendall, Arjot Das; Bruce Nagy, Avantika Ghosh

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