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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. Passive Image Processing Algorithms for Automated Target Attitude Estimation

    SBC: TOYON RESEARCH CORPORATION            Topic: AF19BT005

    Weapons systems testing and analysis is crucial to engineering, understanding, qualifying, and deploying advanced weapons systems. With the boom in camera technology over the past decade image based methods to support weapons testing and analysis have become the state of practice for military test ranges. At the same time, there has been an explosion of research and development in computer vision ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Transfer Learning and Deep Transfer Learning for Military Applications

    SBC: Arete Associates            Topic: AF19CT004

    Aided Target Recognition (AiTR) algorithms augment human decision-making, but require a large database of labeled targets for training. Applied to new domains, these algorithms fail to transfer knowledge and require substantial retraining. Areté and University of Alabama Huntsville (UAH) propose the development of the Domain Extracted Feature Transfer (DEFT) Network to transfer knowledge from a ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Dynamic Bias APD Receiver Array

    SBC: NU-TREK, INC.            Topic: AF19CT006

    The program has two trusts: (1) Using dynamic biasing to address arbitrary pulse trains, such as would be present in LIDAR and other forms of EO/IR imaging and periodic pulse trains, such as in telecommunications; and (2) Developing an APD the meets program requirements such as a cutoff wavelength >1.6 m, low dark current, low excess noise and a >200 K operating temperature. In the proposed ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Fiber Optic Sensor System for Machinery Vibration Monitoring and Diagnosis

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF19CT008

    IFOS proposes an approach to developing an optical fiber Bragg grating (FBG)-based real-time instrumentation system for machinery vibration monitoring and diagnosis. IFOS’ key innovation is in the use of an advanced fiber optic sensing system that can make temperature and vibration measurements, with vibration signature identification and statistics tracking techniques for the assessment of ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Super-High-Resolution, Distributed Photonic Sensors for Aerospace Platforms

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF19CT010

    IFOS and STTR partner Stanford University propose an innovative fiber-optic sensor array leveraging the latest advances in slow-light fiber Bragg gratings (SL-FBG). SL-FBGs substantially improve upon the sensitivity of commercially proven conventional FBGs (C-FBG) by more than 3 orders of magnitude and can be interrogated at megahertz rates. SL-FBG differ from C-FBG in their refractive index modul ...

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

    SBC: ZENITH AEROSPACE INC            Topic: AF19CT010

    The objective of this proposal is to investigate the feasibility and to increase the awareness of the potential stakeholder with Air Force on the technology of a multifunctional structural battery that was originally developed by a Team at Stanford University. The multifunctional structural battery embeds Li-ion battery materials into high-strength composites material. The structural battery not o ...

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

    SBC: GREAT LAKES CRYSTAL TECHNOLOGIES INC            Topic: AF19CT010

    We propose to perform customer discovery in Phase I to identify quantum grade single crystal diamond requirements for future Air Force quantum technologies with an aim to extend our state-of-the-art diamond synthesis process to demonstrate prototype quantum grade diamond in Phase II and to establish a domestic supply of quantum grade diamond in Phase III.

    STTR Phase I 2020 Department of DefenseAir Force
  9. Portable 3D ultrasound technology for diagnosis of traumatic brain injury (TBI)

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF19CT010

    UtopiaCompression Corporation (UC) with its academic partner Augusta University and hardware collaborator URSUS Medical will establish and demonstrate robustness of a low-cost, portable 3D ultrasound (US) system for imaging of the optic nerve sheath (ONS). The 3D ONS models generated from US images aid in screening of susceptible mild traumatic brain injury (mTBI) that results in temporary and sub ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Transportable Rugged Crystalline Silicon Reference (TRuCR)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    Crystalline silicon cavities serve as ultralow-phase-noise optical local oscillators for optical atomic frequency standards and can support the realization of optical timescales.  While a JILA/PTB team has built and tested several silicon cavities over the past decade, similar cavities are not readily available to other potential users.  We propose to combine AOSense’s expertise in laser-frequ ...

    STTR Phase I 2020 Department of DefenseAir Force
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