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Award Data

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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. ABDUCTIVE/EXPERT SYSTEM CONTROLLER

    SBC: ABTECH CORPORATION            Topic: N/A

    THE OBJECTIVE OF THIS EFFORT IS TO DEMONSTRATE A PROTOTYPE CONTROLLER FOR A HOWITZER USING A HYBRID NETWORK AND PRODUCTION RULE SYSTEM. THE RESULTING ADAPTIVE CONTROLLER WILL DEMONSTRATE THE FEASIBILITY OF DEVELOPING A REVOLUTIONARY CONTROLLER CAPABLE OF ADAPTING IN A DYNAMIC ENVIRONMENT, MONITORING AND DIAGNOSING BEHAVIOR, AND PREDICTING FUTURE FAULTS AND MAINTENANCE REQUIREMENTS. ABTECH HAS DEVE ...

    SBIR Phase II 1994 Department of DefenseArmy
  2. An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for Chaotic Avionics Systems Behavior Prediction

    SBC: ABTECH CORPORATION            Topic: N/A

    Ontogenic neural networks, those which automatically discover their topology during synthesis, offer substantial advantages over traditional machine learning techniques. They also have the potential to offer many benefits in several areas of avionics research. Among potential application areas is the ability to predict or forecast the behavior of a seemingly random or chaotic system. This proposal ...

    SBIR Phase II 1994 Department of DefenseAir Force
  3. Voice Controlled Office Assistant Using Abductive Networks ($19,968 Phase I option proposed)

    SBC: ABTECH CORPORATION            Topic: N/A

    AbTech will survey the hardware and software available to determine what capabilities should be included in an automated office assistant software suite. A language parsing and encoding system in ANN (a leading semantic understanding software package) will be used to parse and encode ASCII output resulting from a voice recognition system such as DragonDictate. The ASCII output from the voice recog ...

    SBIR Phase I 1994 Department of DefenseAir Force
  4. Automated Target Assessment Development Environment

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency
  5. SAR-Based Automatic Target Recognition Avionics System

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  6. Integrated Avionics Information Processing Development

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  7. Gamma Ray Lens Feasibility Study

    SBC: Acctek Associates, Inc.            Topic: N/A

    Ganuna (7)-ray lenses are an advanced technology currently under development at Argonne National Laboratory for arms control application. The purpose of this proposal is to address whether y-ray lens technology can enable an improved system for imaging radioactive isotopes in patients. In nuclear medicine, it is often desirable to generate a y-ray image that shows the exact areas where an emitting ...

    SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency
  8. N/A

    SBC: Algorithm Design & Measurement            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseNavy
  9. HARDWARE IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

    SBC: Adaptive Solutions Inc.            Topic: N/A

    WE PROPOSE TO DEMONSTRATE THE FEASIBILITY OF OPTICAL CHARACTER RECOGNITION (OCR) ON A VLSI NEUROCOMPUTER. THE OCR SYSTEM WILL USE STATE OF THE ART ARTIFICIAL NEURAL NETWORK CLASSIFIERS ONADAPTIVE SOLUTIONS' CNAPS NEUROCOMPUTER CHIPS. THE CNAPS CHIPS OFFERUNPRECEDENTED PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS. THE IMAGE PREPROCESSING OF THE OCR SYSTEM WILL ALSO EXECUTE ON THE CNAPS CHIPS. THE GOAL ...

    SBIR Phase II 1994 Department of DefenseDefense Advanced Research Projects Agency
  10. HARDWARE IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

    SBC: Adaptive Solutions Inc.            Topic: N/A

    N/A

    SBIR Phase I 1991 Department of DefenseDefense Advanced Research Projects Agency
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