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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. ViA-ML: A Machine Learning backed Visualization Assistant

    SBC: Scientific Systems Company Inc.            Topic: OSD13LD1

    With the proliferation of cheap sensors, reduction in storage costs and the ubiquity of communication networks, Cyber-Physical Systems are collecting and storing data at an unprecedented rate. Analysis of such large databases is necessary to find relevant information and improve the efficiency of the Cyber Physical System. The goal of an analysis tool, simply put is to find the most interesting in ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  2. Biometrics for Human-machine Team Feedback in Autonomous Systems

    SBC: TIAX LLC            Topic: OSD141AU1

    Use of Google Glass and add-ons to monitor warfighter state.

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  3. Toolkit for Managing Evaluation and Testing for Red Team Investigations of Cyber Security (METRICS)

    SBC: Charles River Analytics, Inc.            Topic: OSD12IA1

    Adversaries are becoming increasingly proficient at cyber attacks against command and control infrastructure. Maintaining security requires high-fidelity assessments of software services, e.g., through exercises in which Systems Under Test are subjected t

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  4. AWAKE: Adaptive Workspace for Analyst Knowledge & Engagement

    SBC: APTIMA, INC.            Topic: OSD12AU5

    There is an increasing need for fast and accurate analysis of large volumes of disparate data containing critical information. Existing tools for information search, retrieval, and exploitation are inadequate because the tools have limited ability to (1) help the analyst understand the semantics within the information, (2) reveal the relationships between the information and the analytic task, or ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  5. Sense-making via Collaborative Agents and Activity Networks (SCAAN)

    SBC: APTIMA, INC.            Topic: OSD12AU6

    The volume of data collected by Air Force ISR has exceeded the capacities of traditional analysis methods. New enhancements to the Air Forces PCPAD intelligence cycle are, thus, critical to providing the analyst with the ability to strategically process, exploit and analyze the most critical information. Aptimas SCAAN system seeks to enhance PCPAD by distributing data exploitation and analysis tas ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  6. MATCH-SLAM: A Multi Agent Tasking and Control metHod for Simultaneous Localization and Mapping

    SBC: Physical Sciences Inc.            Topic: OSD12AU4

    In Phase I Physical Sciences Inc. (PSI) demonstrated the feasibility of its Multi Agent Tasking and Control metHod for Simultaneous Localization and Mapping (MATCH-SLAM). PSI showed the excellent performance of MATCH-SLAM in the full multi-agent SLAM sim

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  7. A System Using Knowledge of Narratives for Optimizing Workspaces to Enhance Reasoning (KNOWER)

    SBC: Charles River Analytics, Inc.            Topic: OSD12LD4

    The wealth of data provided by modern information fusion (IF) tools exceeds the ability of intelligence analysts to effectively process, exploit, and disseminate actionable intelligence. This issue arises because these IF tools define information value a

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense

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