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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.

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  1. THE DESIGN OF AN INDEPENDENT,OPERATIONAL, DECISION MAKING CONTROL UNIT FOR AUTOMATIC RECOGNITION

    SBC: Computer & Information            Topic: N/A

    N/A

    SBIR Phase I 1983 Department of DefenseArmy

  2. THIS IS A PROPOSAL TO EVALUATE COMMES, A COMPUTER-BASED NURSING EDUCATIONAL CONSULTING SYSTEM, DESIGNED TO PROVIDE INDIVIDUALLY TAILORED MINICURRICULA THAT MEETS THE NEEDS OF THE NURSE USER.

    SBC: Data Management Services, Inc.            Topic: N/A

    THIS IS A PROPOSAL TO EVALUATE COMMES, A COMPUTER-BASED NURSING EDUCATIONAL CONSULTING SYSTEM, DESIGNED TO PROVIDE INDIVIDUALLY TAILORED MINICURRICULA THAT MEETS THE NEEDS OF THE NURSE USER. THE COMPUTER PROGRAM USES WORDS TYPED AT A SUITABLE TERMINAL TOGETHER WITH OPERATORS "OR", "AND", AND "INCLUDING" IN AN INQUIRY MODE TO PRODUCE A DETAILED STUDY GUIDE OF LEARNING REQUIREMENTS AND EDUCATIONAL G ...

    SBIR Phase I 1983 Department of Health and Human Services

  3. FUEL MIXTURES

    SBC: Icr Research Associates Inc            Topic: N/A

    N/A

    SBIR Phase I 1983 Department of Energy

  4. THE PROJECT WILL ASSESS SEVERAL DESIGN ALTERNATIVES IN THE DEVELOPMENT OF EXPERT SYSTEMS AND, MORE GENERALLY, MACHINE INTELLIGENCE.

    SBC: Synenergy Systems            Topic: N/A

    THE PROJECT WILL ASSESS SEVERAL DESIGN ALTERNATIVES IN THE DEVELOPMENT OF EXPERT SYSTEMS AND, MORE GENERALLY, MACHINE INTELLIGENCE. SPECIFICALLY, A UNIVERSAL KNOWLEDGE FRAME WILL BE EVALUATED AS A MEAN OF: 1) REDUCING THE AD HOC NATURE OF THE KNOWLEDGE BASE OF EXPERT SYSTEMS, 2) FACILITATING THE PRODUCTION OF NEW EXPERT SYSTEMS, 3) PERMITTING THE INTERACTION OF EXPERT SYSTEMS FROM WITHIN THEIR DIS ...

    SBIR Phase I 1983 Department of DefenseArmy
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