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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  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. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  3. 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
  4. 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
  5. Novel Sulfonated Block Copolymers for Efficient Electrochemical Hydrogen Compression

    SBC: Sustainable Innovations, LLC            Topic: 17d

    According to a report by the Hydrogen Council, a global lobby set up in January 2017 by Toyota and Air Liquide that includes 27 members such as automakers Audi, BMW, Daimler, Honda and Hyundai, and energy firms Shell and Total, increasing the use of hydrogen in power, transport, heat and industry could deliver around one fifth of the total carbon emissions cuts needed to limit global warming to sa ...

    STTR Phase I 2018 Department of Energy
  6. High Quantum Efficiency Uni-Traveling-Carrier Photodiode for Optical to Microwave Transduction

    SBC: FREEDOM PHOTONICS LLC            Topic: 29d

    Modern quantum information systems employ optical photons for long distance communication, operating at ambient temperature, between microwave cavities, which house microwave photons used in quantum computing and microwave detection. These optical photons, carried by fiber-optic or free-space links, offer a low-cost, uncooled alternative to bulky, expensive microwave coaxial cables, which are loss ...

    STTR Phase I 2018 Department of Energy
  7. Domestication of the microalga Scenedesmus obliquus for biomass feedstock production

    SBC: MICROBIO ENGINEERING INC            Topic: 08c

    To advance a strong and economical biofuels and bioproducts industry, tools are needed for breeding microalgae to improve phenotypes of commercial interest, including biomass yield, culture stability, harvestability, and accumulation of valuable compounds. This project aims to increase biomass feedstock yields by the phototrophic green alga Scenedesmus obliquus by using classical breeding approach ...

    STTR Phase I 2018 Department of Energy
  8. Tip-based femtosecond multiphoton spectroscopy with radiative heating

    SBC: Laser Prismatics LLC            Topic: 10a

    One of grand challenges in nanoscience and nanotechnology is to achieve fundamental under- standing of the dynamic evolution of materials in actual operating environment, non-equilibrium conditions, or undergoing chemical reactions at the nanoscale. This requires forefront advances in imaging and analysis techniques that combine nanometer-scale spatial resolution, optical excitation and spectrosco ...

    STTR Phase I 2018 Department of Energy
  9. Ultrafast Electron Microscopy Module to Upgrade Existing Commercial Electron Microscopes

    SBC: Niowave, Inc.            Topic: 11a

    This project will develop a flexible longitudinal electron optical system based on high-precision radio-frequency cavities for short and intense electron bunch compressions, both in the energy and time domains. The proposed system is designed to be insertable into an existing transmission electron microscope column to upgrade its temporal resolution. Active phase-space control enables broad ranges ...

    STTR Phase I 2018 Department of Energy
  10. Wide Angle Neutron Spin Echo Device

    SBC: ADELPHI TECHNOLOGY INC            Topic: 12a

    The Neutron Spin Echo (NSE) method has provided unique information about the dynamics of soft materials, including confirmation of the de Gennes model of polymer reptation, and quantitative measurement of the bending constants of various membranes. In almost all cases these measurements have been made at small neutron scattering angles, where structural correlations with length scales between 10 n ...

    STTR Phase I 2018 Department of Energy
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