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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Stable High Bandwidth AO Control with physical DM constraints

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT008

    Adaptive optics (AO) can compensate for the aberrating effects of atmospheric turbulence which degrade the performance of high energy laser (HEL) weapon systems and, as such, is an enabling technology for effective deployment of HEL weapon systems. A key component in an HEL AO system is the deformable mirror (DM). However, mechanical constraints in currently available DMs limits AO system performa ...

    STTR Phase II 2020 Department of DefenseAir Force
  2. TeraNet – A Wideband Terahertz Communication Network

    SBC: Intelligent Automation, Inc.            Topic: AF19BT008

    Terahertz communication is anticipated to provide ultra-high capacity links up to 1Tbps. Thus, Terahertz communication is promising to support wide varieties of emerging high throughput and low latency applications, including military applications. However, the Terahertz channel suffers from severe path loss and is highly sensitive to obstacles. Hence, novel solutions should be designed to account ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Multiband Equipment for Spectrum Agility (MESA)

    SBC: First RF Corporation            Topic: AF19BT009

    In this Phase I STTR program, FIRST RF and GMU will investigate the interrelated trades of directional antenna hardware capabilities and the operational advantages of spectrum agility for airborne networking. GMU’s modeling and simulation (M&S) capabilities combined with the FIRST RF expertise in advanced antenna hardware will provide Air Force with a powerful team to understand the advanta ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Machine Learning based Domain Adaptation (MLB-DA) for Multiple Source Classification and Fusion

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF19CT002

    Generalizing models learned on one domain to novel domains has been a major obstacle in the quest for universe object recognition. The performance of the learned models degrades significantly when testing on novel domains due to the presence of domain shift. In this proposal, we aim to develop a deep learning-based multi-source self-correcting approach to fuse data with different modalities at the ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Deep Transfer Learning Across Domains, Modalities and Classes

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF19CT004

    The capability of “transferring” learned classifiers from one domain, or set of targets, to classify different targets or the same targets but in different domains is of great interest to the United States Air Force. It is an enabling technology for the USAF to build Aided Target Recognition and other algorithms for environments and targets where the data or labeled data is scarce. In ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Human Behavior Analytics Tool (HBAT)

    SBC: Intelligenesis, LLC            Topic: AF19CT007

    IntelliGenesis seeks to lower the incidence of military personnel and veteran suicide through innovative machine learning and data science approaches applied to military personnel data. Our developers, engineers, and analysts, in coordination with university subject matter experts, will collaborate to design and develop an analytic system capable of ingesting and normalizing personnel (non-medical ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. SmartWavAudit: smart technologies for electrical waveform auditing

    SBC: Intelligent Automation, Inc.            Topic: AF19CT009

    Reliability of power generators, distribution systems and motors are essential in ensuring the efficient and reliable operation of industrial manufacturing systems. However, different types of machine health threats (fault or attack) may occur. There may be direct or inderict attacks and different types of short circuit faults for the electric devices such as single phase faults, phase to phase fa ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: BDYWR, LLC            Topic: AF19CT010

    Real Time pilot health/performance monitoring requires body worn physiological sensors to communicate their data to a monitoring device in the cockpit. Traditionally Radio Frequency (RF) based wireless communication would be used in these scenarios. However, these RF waves can potentially affect critical radio communication between the airplane and ground. Electro Quasi-Static Human Body Communica ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: QARDIAN LABS, LLC            Topic: AF19CT010

    Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as 'at risk.' To this end, we investigate the potential of using data analysis, and in particular the design and use of deep neural networks (DNNs) for detecting heart disease based on routine clinical data. Our main contribution is th ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Efficient, Pixeled, and Electronically Controllable Wafer Scaled NV Centers for Advancement of Quantum Applications

    SBC: BLUE WAVE SEMICONDUCTORS INC.            Topic: AF20AT002

    This STTR Phase I project proposes to develop innovative heterojunction quantum optical switchable diode for quantum technology applications and quantum technology hardware developers. To eliminate technological barriers, we are teaming with the University of Maryland College Park (STTR-partner) to support feasibility studies and demonstrate electronically switchable 2D quantum Schottky devices. T ...

    STTR Phase I 2020 Department of DefenseAir Force
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