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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. N/A

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: N/A

    N/A

    SBIR Phase II 1999 Department of DefenseOffice of the Secretary of Defense
  2. N/A

    SBC: DEUMBRA, INC.            Topic: N/A

    N/A

    SBIR Phase II 1999 Department of DefenseDefense Advanced Research Projects Agency
  3. N/A

    SBC: DEUMBRA, INC.            Topic: N/A

    N/A

    SBIR Phase II 1999 Department of DefenseAir Force
  4. 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
  5. 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
  6. Automated Target Assessment Development Environment

    SBC: ABTECH CORPORATION            Topic: N/A

    Automated processing of sensor/signal data and other non-sensor information provides substantial force-multiplying benefits. The timely and cost-effective leveraging of these types of information provides a significant advantage over adversaries not possessing comparable information processing capabilities. The intelligent processing of diverse types of data provides a target assessment technology ...

    SBIR Phase II 1996 Department of DefenseDefense Advanced Research Projects Agency
  7. SAR-Based Automatic Target Recognition Avionics System

    SBC: ABTECH CORPORATION            Topic: N/A

    Intelligent processing of battelfield sensor data and other information provides substantial force-multiplying benefits. The timely and cost-effective leveraging of information provides a signficant advantage over adversaries not possessing comparable information processing capabilties. Among these is automatic target recognition (ATR). Under previous and current Federal funding, AbTech has develo ...

    SBIR Phase II 1996 Department of DefenseAir Force
  8. Rectifying Junctions for High Temperature, High Power Electronics

    SBC: 3c Semiconductors            Topic: N/A

    The single most important type of metal/SiC junction is the n-type, rectifying Schottky diode, because it is the voltage blocking junction in all majority carrier devices. A reliable junction of this type for n-type SiC is the key to its development for high temperature, power conditioning electronics. Phase I will demonstrate that osmium is the ideal metal for forming such junctions. Phase II wil ...

    SBIR Phase II 1996 Department of DefenseMissile Defense Agency
  9. Development Methodology for Design and Implementation of Advanced Controllers for Vibratory Weapon Systems

    SBC: Adaptive Robotics, Inc.            Topic: N/A

    New developments in materials and components create a need for more effective controllers for flexible, lightweight, high-performance systems in DoD, industry, civil infrastructure, and space applications. Included are automated loading and material handling systems, tank flexible gun barrels, vibration and oscillation in automobiles, bridges, and overhead cranes. The control problems associated ...

    SBIR Phase II 1996 Department of DefenseArmy
  10. 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
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