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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. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  2. Investigation of Radiation Effects in Advanced Microelectronic Devices for developing predictive models of degradation

    SBC: CFD Research Corporation            Topic: 20A001

    Radiation effects in microelectronic components are a significant concern for the reliability of DoD systems that operate at high altitudes or in outer space. Typical characterization efforts focus on macroscale degradation signatures from electrical measurements at device terminals. However, a comprehensive analysis of radiation-induced physical defects is not possible based solely on terminal me ...

    STTR Phase I 2020 Department of DefenseDefense Microelectronics Activity
  3. MORTIMER: Language Mechanisms and Tools for Run-TIme Memory Access Policy Enforcement

    SBC: Intelligent Automation, Inc.            Topic: HR001120S0019001

    DoD has a critical need for protecting sensitive data to make sure that only the intended, trusted programs or parts of programs can access the data. This protection must be also effective when data is loaded into memory while being processed by software. Lately, the side-channel attacks which are based on information gained from the implementation of a computer system rather than exploiting algor ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  4. Sparse Information Orbit Estimation for Proliferated LEO

    SBC: Braxton Technologies, LLC            Topic: HR001119S003522

    Rapidly expanding Low Earth Orbit (LEO) satellite constellations force traditional ground-based tracking methods to adapt as the current ground sensor networks can no longer provide a data rich tracking environment. Accurate tracking information is continually consumed by the Government and private sector to varying degrees of accuracy throughout satellites’ mission lifecycles to provide and uti ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  5. Continuum Actuated Redundant Tendon Robots

    SBC: Opterus Research and Development, Inc.            Topic: HR001119S003523

    Opterus Research and Development, Inc. (Opterus) and Colorado State University (CSU) have combined the best features of high strain composites (HSC), continuum robots, and tendon actuated robots to develop a new concept called Continuum Actuated Redundant Tendon (CART) Robot to enable self-reconfigurable modular robots that can perform various tasks (e.g., walking, crawling, wheeling, and grasping ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  6. Self-driving Modular AI-based Robot for Rough Terrain (SMARRT)

    SBC: Intelligent Automation, Inc.            Topic: HR001119S003523

    The Defense Advanced Research Projects Agency (DARPA) is seeking to utilize small reconfigurable robotic system to operate independently in unknown highly complex environments. We propose a modular reconfigurable robot, which presents several locomotion modality to handle different type of off-road environments. We proposed several configurations for the robot, which are well-suited to the type of ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  7. Advanced Data Association Algorithms to Address Emerging Threats

    SBC: Archarithms, Inc            Topic: MDA19T001

    The proposed approach provides innovative sensor data association algorithms capable of performing correct data association in multi-target tracking environments with one or more sensors. Current air and missile threats have the ability to fly non-ballistic, highly maneuvering hypersonic trajectories, and the ability to maintain closely spaced trajectories. Improved detection/track association is ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  8. Spatio-Temporal Association and Curve Kernels (STACKNet) for Multi-Cue Data Association

    SBC: Intelligent Automation, Inc.            Topic: MDA19T001

    Air and missile threats can fly highly maneuvering, complex trajectories. This poses a challenge to tracking algorithms during data association because of confusing targets, proximal detections and fast motion. In the proposed effort we propose to develop deep learning based technologies for data association to improve the accuracy of data association. Deep learning has shown significant gains in ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  9. Question Answering for Data Analytics

    SBC: Archarithms, Inc            Topic: MDA19T003

    This topic seeks an innovative NL solution for answering questions that data analysts ask when analyzing data sets to increase efficiency and consistency. The government is working on an all-digital missile defense simulation architecture that will deliver massive amounts of simulation data. Data analysts will soon be inundated with more data than they can possibly analyze manually. A critical par ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  10. Intelligent Data Exploration and Trending Engine (IDEATE)

    SBC: Seed Innovations, LLC            Topic: MDA19T003

    Seed Innovations (Seed) and the University of Colorado in Denver (UCD) apply our experience in natural language processing (NLP), artificial intelligence, big data, data analytics, automatic code generation, framework development, and software architecture to accomplish the research required. Through the research on this project, Seed and UCD design and develop a proof-of-concept system, Intellige ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
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