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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. 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
  2. Automated In-situ Large-area De-processing of ICs with High Throughput

    SBC: MICRONET SOLUTIONS INC.            Topic: DMEA18B001

    Phase II is the continuing effort to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction s ...

    STTR Phase II 2020 Department of DefenseDefense Microelectronics Activity
  3. Human-Machine Teaming with Machine Learning Algorithms

    SBC: KITWARE INC            Topic: SOCOM18B001

    Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  4. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  5. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  6. Recovery of Rhenium from Superalloy Scrap

    SBC: LYNNTECH INC.            Topic: OSD12T04

    Due to the limited amount of rhenium present in the earths crust (approximately 1-2 part per billion) there is a significant benefit to be realized in recovering for reuse the rhenium from scrap material, spent catalysts, or end-of-life superalloys. Rhenium is found in molybdenum-copper porphyry deposits. If rhenium is present in ore that is processed, it will show up in the resulting molybdenum ...

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  7. MK III Upper Extremity Exoskeleton

    SBC: Ekso Bionics Inc            Topic: 739552

    As the carry and protective gear of the modern war fighter increases, the burden on the human body will necessarily increase. In our present TALOS MkIII project, we are developing lower body augmentation to preserve speed and agility while bearing this weight. Yet we cannot ignore the impact of this weight on the upper body: in this project we propose to develop an upper body exoskeleton with p ...

    STTR Phase II 2015 Department of DefenseSpecial Operations Command
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