You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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

  1. Feasibility of Using a High-speed AI-driven Experimental Platform to Develop an Optimized DNA Template for Cell-free Protein Expression

    SBC: BigHat Biosciences, Inc.            Topic: 90

    We propose to demonstrate the feasibility of using a high-speed artificial intelligence (AI)-driven experimental platformto optimize the DNA template for cell-free protein synthesis (CFPS) to maximize protein expression. Our platform isdesigned to rapidly find an optimal DNA sequence among millions of possible sequences through repeated designbuild-test cycles: AI is used to design the DNA templat ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  2. Advanced Measurement Probe System for Non-Nulling Velocity Testing

    SBC: AIRFLOW SCIENCES CORPORATION            Topic: 90

    Industrial facilities and power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing method developed in the 1960s, which are prone to error due to biases from human operators and any non-axial flow in a stack.NIST has been working on an improved technique of performing 3D flow testing f ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  3. Pyrocast: Wildfire Forecasting & Data Services

    SBC: Reax Engineering, Inc.            Topic: 90

    This work will develop a real-time wildfire forecast system that automatically detects and forecasts the spread of every fire in the Continental US and updates each forecast in real-time as additional information becomes available. Fire forecast data, which are generated “in the cloud” using high performance computing resources, are transferred to a web server hosting a mobile-friendly web map ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  4. High-Precision TEM Topography Mapping

    SBC: NanoElectronic Imaging Inc            Topic: 90

    NanoElectronic Imaging, Inc. (NEI) is developing techniques for mapping signals in the transmission electron microscope (TEM) that are normally inaccessible. In this Phase I SBIR project, NEI will build on preliminary results to develop a quantitative, TEM-based topographic mapping technique with the potential for atomic resolution in all three spatial dimensions. This precision would be akin to a ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  5. Advanced Instrumentation for Non-Nulling Stack Velocity Testing

    SBC: AIRFLOW SCIENCES CORPORATION            Topic: None

    Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  6. Continuous Monitoring of Natural Gas Infrastructure for Increased Community Resilience using Voltammetric Sensors

    SBC: FULLMOON SENSORS, INC.            Topic: None

    Fullmoon has the first chip-level sensors capable of identifying and quantifying molecules in the air. At the core of our technology are printed voltammetric sensors, which are operated using cyclic voltammetry, an electrochemical technique that probes for the redox potential, a unique signature of molecules. We have demonstrated this sensing principle for the detection of carbon monoxide and meth ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  7. Development of a Neutron-based Nondestructive Test Method for Concrete Petrography and Chemical Analysis

    SBC: TOURNEY CONSULTING GROUP, LLC            Topic: None

    To evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  8. 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
  9. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
US Flag An Official Website of the United States Government