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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Dynamic Multisensor Exploitation (DYME)

    SBC: Technology Service Corporation            Topic: ST081008

    The goal of the TSC/GTRI program is to enhance expeditionary (or other small force) ISR capabilities by providing: 1) improved performance for an aggregate of existing or near-term airborne sensors, mobile ground sensors and UGS, 2) more efficient use of data links, and 3) target discovery algorithms that are designed for the available exploitation equipment. The multiple sensor exploitation arch ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  2. UBER-HEB: Universal Biologically-inspired Environment for Research: Hierarchical Ersatz Brain

    SBC: Aptima, Inc.            Topic: ST081006

    Decades of exponential advancement in computer capabilities have transformed the world, from toddlers’ playthings to the technologies of war and peace. Some further advances are constrained by the limits of von Neumann machines; in particular, they do not learn well. Aptima proposes to conduct a feasibility study to design “UBER-HEB,” a non-von Neumann hierarchical universal learning system. ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  3. Printed transparent backplane for displays and spatial light modulators based on organic thin film transistors

    SBC: AGILTRON, INC.            Topic: ST081015

    Recent materials development together with an improving understanding of organic transistors has enabled solution-processed materials that show good performance, with high transparency in the visible range. In this program, leveraging on our extensive experience in organic material development and large scale organic material deposition by solution based processing, AGILTRON and Stanford Universit ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  4. Probabilistic and Relational Inferences in Dynamic Environments (PRIDE)

    SBC: Charles River Analytics, Inc.            Topic: ST081004

    Reasoning under uncertainty is a critical capability for systems that support intelligent decision making in defense applications. Probability theory is a sound, widely accepted basis for reasoning under uncertainty. The environments in which decisions are made are rich and complex. Logical languages are powerful and expressive, providing the capability for making general statements and describing ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  5. Novel Methods for Rapid Detection of Infection Agents and the Severity of Cellular Damage

    SBC: DiaCarta, Inc.            Topic: ST081003

    The development of early detection methods to aid in the identification of virulent infectious pathogens is of strategic importance so that exposed warfighters and other individuals can be treated early or appropriately quarantined. We are currently developing a nucleic acid-based assay that can selectively and sensitively detect and quantify the RNA or DNA specific to a broad range of pathogens i ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  6. Ultra Low Drive Voltage Electro-Optic Modulator

    SBC: Freedom Photonics LLC            Topic: ST081014

    The main objective of this proposal is to develop ultra low drive voltage, low insertion loss, and high bandwidth modulators. This will be achieved using substrate removed optical nanowires. This new phase modulator design and fabrication platform will be combined with existing techniques for achieving the required high bandwidth and high efficiency operation, such as traveling wave electrode desi ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  7. Passive Collision Detection for UAV Sense and Avoid Systems

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: ST081005

    The Department of Defense (DoD) has invested heavily and successfully in Unmanned Aerial Systems (UAS) technology. Currently, UAS face limitations on their utilization in civil airspace because they do not have the capability to sense and avoid (SAA) other air traffic. Ability to detect collisions with low False Alarm and False Negative Rates are crucial for SAA. Moreover, in several situations us ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  8. Automated Video Activity Analysis for Military Operations

    SBC: MAYACHITRA, INC.            Topic: ST081010

    The increasing use of video in force protection, autonomous vehicles reconnaissance, and surveillance in general has created a great demand for automated analysis and monitoring. It is infeasible to have humans monitoring and analyzing the vast amount of video used in such surveillance, and automated analysis yields hope to ease the burden and increase the amount of information extracted from col ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  9. High-Speed Diagnostic of Temperature and Intensity Variation on Diode-Laser Facets

    SBC: Science Research Laboratory, Inc            Topic: ST081011

    In this STTR project, Science Research Laboratory (SRL) and Boston University Photonics Center (BU Photonics) will develop a revolutionary optical technology for detecting localized increases in temperature on time scales ranging from nanoseconds to microseconds. By appropriately responding to instabilities in laser diodes (LDs), SRL has demonstrated a 10X increase in their lifetime. Localized di ...

    STTR Phase I 2008 Department of DefenseDefense Advanced Research Projects Agency
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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