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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.

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. 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
  2. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  3. Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High Altitude

    SBC: Research Logistics Company            Topic: SOCOM17C001

    Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. System for Nighttime and Low-Light Face Recognition

    SBC: Polaris Sensor Technologies, Inc.            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  5. 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
  6. 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
  7. Novel Mixed-mode TCAD-Commercial PDK Integrated Flow for Radiation Hardening By Design

    SBC: CFD Research Corporation            Topic: DTRA16A003

    Cost-effective application of advanced commercial electronics technologies in DoD space systems requires early development of radiation-hardened-by-design (RHBD) techniques, and use of simulations is critical to the efficiency of this process. CFDRC has developed an integrated, mixed-mode simulation approach allowing their NanoTCAD device physics simulator to interface with commercial circuit simu ...

    STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  8. Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions

    SBC: MAKEL ENGINEERING, INC.            Topic: DTRA16A001

    This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  9. Portable and Automated Radiation Effects Test Structures for Advanced Technology Nodes

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: DTRA16A003

    Micro-RDC will develop portable radiation effects test structures that scales to new process nodes. These structures will enable the investigation of the effects of radiation on the new technology from the material processing level as well as the circuit level. The production of the chosen structures and the development of software to extract the model parameters will form the framework. A suit ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  10. Modular Pulse Charger and Laser Triggering System for Large-Scale EMP and HPM Applications

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES            Topic: DTRA16A004

    For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
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