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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.

Displaying 1 - 10 of 379 results
 
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  1. BattleView: A Distributed System for Intelligent Integrated Hypermedia Presentation Services for the Digital Battlefield

    SBC: DEUMBRA, INC.            Topic: N/A

    A number of applications in other commercial as well as military sectors require that multiple distributed data sources be consulted when a specific need arises, and that the results of these consultations be presented to the user. Often, these results are complex and involve multiple documents. Presentation of such results involves automatically generating browsable documents so that the user c ...

    SBIR Phase I 1996 Department of DefenseArmy

  2. SCALABLE MULTIMEDIA DATABASE INTEGRATION AND VISUALIZATION TECHNOLOGY

    SBC: DEUMBRA, INC.            Topic: N/A

    In this proposal, we will develop a uniform framework, called a multimedia mediator, for integrating and querying multimedia data as well as heterogenous data located on a distributed network. The multimedia mediator will use distributed computing technology to scale up to real-world applications. We will develop graphical query languages and query engines whereby an end-user can query a system ...

    SBIR Phase I 1996 Department of DefenseNavy

  3. ABDUCTIVE NETWORKS FOR COMPLEX AERONAUTICAL SYSTEMS DEVELOPMENT

    SBC: ABTECH CORPORATION            Topic: N/A

    INNOVATIVE ARTIFICIAL INTELLIGENCE TECHNIQUES HAVE THE POTENTIAL TO SOLVE MANY COMPLEX AIR FORCE PROBLEMS. ADVANCES IN COMPUTING SPEED AND EXISTING SOFTWARE TECHNOLOGY ALONE ARE UNLIKELY TO RESULT IN REAL-TIME AERONAUTICAL SYSTEMS CAPABLE OF MEETING THE COMPLEX REQUIREMENTS OF THE AIR FORCE MISSION. RATHER, AN ALTERNATIVE METHODOLOGY SUCH AS ABDUCTIVE TECHNOLOGY, A NEW TECHNOLOGY PRESENTED IN THIS ...

    SBIR Phase I 1990 Department of DefenseAir Force

  4. 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

  5. ModelQuest Satellite Telemetry Anomaly Resolution (MQ STAR)

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of DefenseAir Force

  6. Automated Target Assessment Development Environment

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency

  7. SAR-Based Automatic Target Recognition Avionics System

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force

  8. Integrated Avionics Information Processing Development

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force

  9. ABDUCTIVE NETWORKS FOR SPACE SURVEILLANCE AND CLASSIFICATION

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseAir Force

  10. Advanced Neurocontrol Methods for a Remotely Piloted Vehicle

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

    SBIR Phase I 1994 Department of DefenseAir Force
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