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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. Application of Neural Networks for Pattern Recognition in Logistics Data

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this Phase I SBIR, Accurate Automation Corporation will prototype key component technologies for a neural network-based Logistic Support Assistant that will assist Navy Supply Management personnel in planning and forecasting of logistics efforts. Fully developed as part of a Phase II effort, this system will help ensure smooth continuity of performance even when personnel are reassigned. ...

    SBIR Phase I 1996 Department of DefenseNavy
  2. Accurate Automation Corporation Fuzzy Logic/ Neural Network Processor

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this project we will adapt our programmable neural network processor (NNP) into a Fuzzy/neural network processor (FNNP). Already having the commercially successful NNP, we begin this program with more than half the work completed. we will define and evaluate NNP architectural modifications to optimize both data flow and data processing for both fuzzy logic and neural network- Operations- we w ...

    SBIR Phase I 1996 Department of DefenseNavy
  3. BIOLOGICALLY INSPIRED PROCESSOR FOR ALL-SOURCE DATA ASSOCIATION AND FUSION

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    This project will develop improved sensor fusion of underwater surveillance and fire control related ]data based upon biologically inspired data association and sensor fusion techniques. In this _proposed SBIR, AAC will examine under-sea surveillance requirements for providing contact data hassociation for two or more contacts in the littoral environment. We will analyze biologically-inspired [tec ...

    SBIR Phase I 1997 Department of DefenseNavy
  4. Precision Logistics Suppot System (PLSS)

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    Accurate Automation Corporation will design, develop, demonstrate, and transition by the end of Phase II a new tool, the Precision Logistics Support System (PLSS), which can assist Marine Corps logistics personnel in rapidly generating and refining a logistics / supply plan that will best meet the needs of any specific deployment. The prototype PLSS will be configured for a LAN-connected PC en ...

    SBIR Phase I 1997 Department of DefenseNavy
  5. NEURAL NETWORKS FOR AUTONOMOUS MOTOR CONTROL

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseNavy
  6. SBIR Phase I: Recurrent Adaptive Critics for Nonlinear Systems Control

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1997 National Science Foundation
  7. SBIR Phase I: Neural Network Methods for Robust System Identification

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1996 National Science Foundation
  8. ASR-9 RDAR/AIR TRAFFIC CONTROL INTERFACE

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1988 Department of DefenseNavy
  9. SBIR Phase I: Intelligent Agents Using Situation Assessment

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1997 National Science Foundation
  10. Catalytic Conversion Recycling Process for Composite Aircraft Components

    SBC: Adherent Technologies, Inc.            Topic: N/A

    Cured aircraft composite materials present a particularly difficult challenge for recycling technology. Those materials have mostly thermosetting epoxy matrices and occur in intimate association with metals, paints, and coatings. Current techniques for recycling thermoset composites, mostly for automotive sheet molding compounds (SMC), involve pulverizing the material for use as fillers. Th ...

    SBIR Phase I 1996 Department of DefenseNavy
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