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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. 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-modal, 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 mathematica ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. IA 2: Intent-Capturing Annotations for Isolation and Assurance

    SBC: Immunant, Inc.            Topic: HR001120S0019001

    Software and hardware flaws can be exploited to make programs perform unintended computations or leak sensitive data. We propose to counter these threats by isolating libraries and other program units inside a single process. The developer will insert source-level annotations that i) map code and data units to compartments and ii) capture how each compartment is intended to interact with others, i ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  5. MORTIMER: Language Mechanisms and Tools for Run-TIme Memory Access Policy Enforcement

    SBC: Intelligent Automation, Inc.            Topic: HR001120S0019001

    DoD has a critical need for protecting sensitive data to make sure that only the intended, trusted programs or parts of programs can access the data. This protection must be also effective when data is loaded into memory while being processed by software. Lately, the side-channel attacks which are based on information gained from the implementation of a computer system rather than exploiting algor ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  6. Pathogen Classification Tool (PACT)

    SBC: Stottler Henke Associates, Inc.            Topic: ST18C002

    Stottler Henke proposes PACT to address the threat posed by unknown/novel bacteria. Stottler Henke’s solution leverages AI/ML technologies to assess the pathogenic potential of unknown/novel bacteria for DARPA’s Biological Technologies Office. Threat assessment is inferred from phenotype as characterized by a series of assays developed by Harvard University as part of DARPA’s Friend or Foe p ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  7. Development of an Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Beta Bionics, Inc.            Topic: ST18C004

    It is well established that hyperglycemia of critical illness, general glucose intolerance, and insulin resistance are common among critically ill patients, including those without a diagnosis of diabetes mellitus upon hospital admission. Such glycemic dysregulation has been linked to increased patient morbidity and mortality, and longer recovery times. Furthermore, tight glycemic control has been ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  8. Visual Relative Navigation

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many DoD ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  9. PathEngine II: A Platform To Automate the Integration of Data To Predict Pathogenic Potential

    SBC: Netrias, LLC            Topic: ST18C002

    Netrias, the Texas A&M Health Science Center (TAMHSC) and the Texas A&M Engineering Experiment Station (TEES), and expert consultants will expand and extend the capabilities of PathEngine, an advanced computational platform that ingests and integrates a corpus of bacterial phenotype measurements suitable for the training of a pathogenicity machine learning algorithm. We will enhance the data integ ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  10. Methane Harvesting for Seafloor Generation

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: ST18C005

    Clearly demonstrate that a sub-sea methane harvesting power station can be developed, deployed, and operated to produce power at the 1kW level. Show that no major hurdles remain to produce a fully functional prototype system. Such a system will harvest methane from a productive methane ocean seep and operate autonomously for several years.

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
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