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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. First-principles-based framework for discovery and design of sustainable non-rare-earth high-temperature alloy systems

    SBC: CFD RESEARCH CORPORATION            Topic: OSD12T06

    The aim of this STTR program is to develop protocols to discover rare-earth-free/rare-earth-lean magnetic alloys for replacing rare earth (RE) -based alloys for reducing the dependence of supply from China. The development of non-RE high temperature magnetic materials is very challenging. In Phase I, CFDRC in collaboration with its university partner has demonstrated a proof-of-concept computation ...

    STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  3. Human-Centric Training and Assessment System for Cyber Situational Awareness

    SBC: Scalable Network Technologies, Inc.            Topic: OSD12T08

    The goal of the proposed work is to develop a human-centric training and assessment system for cyber situation awareness. The envisioned system will enable instructors to define training goals, design lesson plans, assign students roles in teams, and observe students performance, record events and interactions for scoring. The instructor/students can place tags (time or event) to roll back or repl ...

    STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
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