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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. U.S. based seL4 Center of Excellence

    SBC: Intelligent Automation, Inc.            Topic: SB172008

    Current seL4 ecosystem is centered on a wiki and github that are maintained by NICTA and Data61 (a commercial spin-off organization of NICTA).Many branches and forks of the seL4 code base that are readily publicly accessible but often orphaned and out dated.Additionally, the major training and education efforts are mainly offered and managed by Data61. However, due to geographical distance from U. ...

    SBIR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. DFSI: Enforcing Practical Data Flow Separation and Integrity

    SBC: Intelligent Automation, Inc.            Topic: SB173003

    Memory corruption vulnerabilities are the root cause of many modern attacks. Numerous defenses have mainly focused on mitigating control-data attacks, leaving modern systems and programs vulnerable to non-control-data (or data-oriented) attacks. Recently, the full power of non-control-data attacks has been revealed. A new technique called data-flow stitching was developed to systematically constru ...

    SBIR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Vestibular Rehabilitation Aid (VestAid)

    SBC: Intelligent Automation, Inc.            Topic: DHA172014

    Service members exposed to blasts have frequent complaints of dizziness Appropriate treatment is critical for many reasons: Service members with complaints of dizziness and imbalance are often unable to perform their duties.This results in slower reaction times, decreased productivity (in the form of lost duty days) and negatively impacts force readiness.An integral part of vestibular rehabilitati ...

    SBIR Phase I 2018 Department of DefenseDefense Health Program
  4. Neural Stem Cell Therapy for Severe Traumatic Brain Injury

    SBC: Neuralstem, Inc.            Topic: DHA18004

    We have identified NSI-566, a stable neural stem cell line, isolated and expanded from a single human fetal spinal cord tissue, as the investigational product for TBI treatment.NSI-566 has been approved by the US FDA as an investigational product for clinical testing in ALS (IND# 13905) and chronic SCI (IND# 14413) which are ongoing.For TBI treatment, we propose to place deposits of NSI-566 into t ...

    SBIR Phase I 2018 Department of DefenseDefense Health Program
  5. Achieving Transformative Productivity through application of Collaborative Augmented Reality Systems (CARS)

    SBC: Vecna Technologies, Inc.            Topic: DLA181001

    The Defense Logistics Agency (DLA) is seeking to automate parts of their procurement, logistics, and distribution processes by applying Augmented Reality (AR) solutions to increase efficiency and reduce costs. Vecna Robotics' world-leading automation consulting team is well-positioned to leverage a deep and broad understanding of advanced technology and its application to warehouse operations. Vec ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  6. Automated Approaches to Analyze and Identify Dual Use Research of Concern from Scientific Publications

    SBC: Intelligent Automation, Inc.            Topic: DTRA172004

    The dual use potential of certain life sciences research has been recognized as an important biosecurity issue for a number of years. Current Dual Use Research of Concern (DURC) assessment procedures are pure manual work done by researchers/reviewers trained in the biosecurity domain. Therefore, an automated approach to analyze and identify DURC rapidly and reliably is urgently needed. To address ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  7. Run Time Data Compression Techniques

    SBC: BTS Software Solutions, LLC            Topic: MDA17004

    BTS Software Solutions proposes a real-time statistical lossless data compression system to conduct run time lossless compression of multimodal data for MDA applications. To realize the real-time process, we will design block based (BB) adaptive Huffman coding, BB-run-length coding, BB-arithmetic coding, and other block based real-time entropy coding algorithms. The system will use statistical fea ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  8. High Performance Parallel Multi Format Compression Suite

    SBC: Intelligent Automation, Inc.            Topic: MDA17004

    Military applications require data logging in different formats. More effective data compression techniques compatible with existing infrastructure to reduce data logging path bandwidth and decrease memory and storage are actively sought. To address this need, I-A-I and our partners at the University of California, Davis will work on the design and implementation of a highly parallel multi format ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  9. Low-Shot Detection in Remote Sensing Imagery

    SBC: Next Century Corporation            Topic: NGA172002

    Next Century Corporation proposes the development of Muggsy, a low-shot deep learning detection prototype system that learns to recognize uncommon targets in remote imagery. Our Phase I research extends and leverages an image classification system of our own design called EvoDevo. EvoDevo evolves its own neural network architecture before training to meet the complexity of the data. Muggsy uses le ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. GFNet: Gnostic Fields based Low-Shot Learning for Target Detection in Remote Sensing

    SBC: Intelligent Automation, Inc.            Topic: NGA172002

    To detect uncommon targets in remote sensing imagery, it is quite often that very few prior examples are available. This so-called low-shot detection remains a very challenging problem in remote sensing, despite the recent development in state-of-the-art object detection algorithms such as Faster R-CNN and YOLO, and low-shot learning methods such as feature shrinking, model regression and memory a ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency

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