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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. PSSC: Pictorial Structures for Scene Context

    SBC: SOAR TECHNOLOGY, INC.            Topic: ST14B003

    computer vision, image processing, scene recognition, scene understanding, object recognition, image segmentation, gisting

    STTR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  2. Revolutionary Airlift Innovation

    SBC: Logistic Gliders Inc.            Topic: ST14B004

    Glider, Logistics, STOM

    STTR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  3. Context-driven Active-sensing for Repair Tasks (CART)

    SBC: Dynamic Object Language Labs, Inc.            Topic: ST14B003

    Computer-vision adaptation context taskable sensors top-down robust closed-loop

    STTR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  4. Programmable allosteric transcription factors as specific molecular sensor-actuators

    SBC: ENEVOLV, INC.            Topic: ST14B002

    Allostery, molecular recognition, genetic actuators, metabolic engineering, biosurveillance, high-throughput screening, selection

    STTR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  5. Computational Biology Platform Technology for Cellular Reprogramming

    SBC: IREPROGRAM, LLC            Topic: ST17C001

    Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: PERCEPTRONICS SOLUTIONS, INC.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  9. STability and Resilience Analysis Technology for Urban Systems analysis (STRATUS)

    SBC: Systems & Technology Research LLC            Topic: ST17C003

    The unique scale, population density, complexity, and connectedness of megacities requires new tools for detecting and assessing risks related to civil unrest, rule of law, terrorism, and other sources of instability, and for understanding the underlying dynamics. In addition, gray zone operations pose a new and strategically important class of threats to the stability of nation states and cities ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  10. REsilience & Stability In DENse Terrains (RESIDENT)

    SBC: Boston Fusion Corp.            Topic: ST17C003

    Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematical models of u ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
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