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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.

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  1. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency

  2. Data-Driven Technology Discovery Application

    SBC: Semandex Networks Inc.            Topic: DTRA162005

    Automatically identifying emerging technologies and research trends from the high volume of the worlds scientific publications is of great significance in order to stay ahead of the critical advances that impact the development of new and disruptive technologies. Semandex and Barnstorm will implement a prototype tool, INSIGHT, that will scan large datasets from web content services and perform ana ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency

  3. INTENSE GAMA-RAY BEAMS

    SBC: Applied Research Associates, Inc.            Topic: N/A

    STANDARD MONTE CARLO AND FN METHODS FOR RADIATION TRANSPORT WILL BE USED TO STUDY A NEWLY PROPOSED SHIELD CONFIGURATION FOR PROTECTION AGAINST PARALLEL OR SLIGHTLY DIVERING GAMA RAY BEAMS IN A SPACE (NON-SCATTTERING) ENVIRONMENT. THE NEW CONFIGURATION EMPLOYS LAYERED SHIELDS, WITH CONSIDERABLE SEPARATION BETWEEN THE LAYERS, TO SHADOW THE TARGET, OF THE ASSUMPTION THAT THE DIRECTION OF INCIDENCE IS ...

    SBIR Phase I 1983 Department of DefenseDefense Threat Reduction Agency
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