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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. 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
  2. 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
  3. Automating U-spline fluid-structure model development for mobility applications

    SBC: Coreform LLC            Topic: A19BT006

    Dr. Thomas J.R. Hughes, senior advisor at Coreform, first introduced isogeometric analysis (IGA) in 2005. In the years since, it has been shown that smooth splines, the basic building blocks of IGA, allow for the use of relatively coarse meshes for accurate analysis in both finite element analysis (FEA) and computational fluid dynamics (CFD). Research results also show that IGA delivers improved a ...

    STTR Phase I 2020 Department of DefenseArmy
  4. Exploiting Single Nucleotide Polymorphisms for Extreme Performance

    SBC: Fit Genetics, Inc.            Topic: A19BT008

    Advances in DNA sequencing technology have generated a rapid expansion of human genome information and the revelation of extraordinary individual-level genetic variation. Individual genome sequencing will soon be routine and cost-effective. To exploit this resource to the benefit of warfighters, we propose an approach for identifying and characterizing genetic variants that compromise metabolic ef ...

    STTR Phase I 2020 Department of DefenseArmy
  5. High Purity H2 from Sunlight via a Unique Combination of Novel Photodiodes and Membranes

    SBC: PRECISION COMBUSTION, INC.            Topic: A19BT015

    Precision Combustion, Inc. (PCI) together with University of Michigan (UMich) proposes a system to use solar energy to convert water to ultra-high purity compressed hydrogen suitable for PEM fuel cells. We will combine UMich’s high efficiency photocatalytic water splitting approach with PCI’s integrated hydrogen separator/compressor. The proposed effort will confirm the avoidance of external e ...

    STTR Phase I 2020 Department of DefenseArmy
  6. Passive, Non-powered Re-chargeable Heat Storage Systems for Cold Climate Operations

    SBC: 2W ITech LLC            Topic: A19BT014

    Next-level improvements in thermal extremity protection for the current Extended Cold Weather Clothing System (ECWCS) are needed for soldiers in order to improve mobility and achieve peak performance in bitterly cold Arctic climes. In this STTR program, 2W iTech LLC proposes to develop phase change material (PCM) based thermal regulating films, in collaboration with the Multiscale Thermal Science ...

    STTR Phase I 2020 Department of DefenseArmy
  7. High Performance, Non-flammable Lithium Battery

    SBC: AMERICAN LITHIUM ENERGY CORP.            Topic: A19BT016

    The ALE-PNNL Team is developing a nonflammable high capacity and high power 18650 cell using nonflammable electrolyte for military electric vehicle and energy storage applications. The 18650 cells will be nonflammable even under extreme temperature conditions and after metal penetration, even including bullet penetration.

    STTR Phase I 2020 Department of DefenseArmy
  8. Machine-Learning Based Sensing and Waveform Adaptation for SDRs Operating in Congested and Contested Environment

    SBC: Space Micro Inc.            Topic: A19CT005

    Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...

    STTR Phase I 2020 Department of DefenseArmy
  9. Laser Activated Plasma (LAPLAS) for Standoff Electronic Denial

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: A19CT007

    Robotic systems in general, and Unmanned Arial Vehicles (UAVs) in particular, pose a threat for both military and civilians when in the wrong hands. The triad of Kinetic, High-Power Microwave and Laser weapon systems currently used or considered for Counter-UAV (C-UAV) operation though effective in disrupting their performance, might be hazardous when used in a populated area. In this Phase I prog ...

    STTR Phase I 2020 Department of DefenseArmy
  10. Tactical Edge Sensor Processing- Edge Learning System Orchestration and Management

    SBC: HIKINO ASSOCIATES, LLC            Topic: A19CT004

    Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

    STTR Phase I 2020 Department of DefenseArmy
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