Award Data

The ability for the Department of Defense to keep pace with rapidly-expanding content, both internal and external, requires human - machine teaming, utilizing AI-based tools for information aggregation, organization and summarization, so that humans can focus on analysis and decision making.

Adversaries and competitors of the United States are increasingly leveraging the rapidly evolving Information Environment (IE) to advance their strategic interests against those of the US and allied nations. Maintaining an information advantage in the progressively fragmented online landscape is challenging, as the impact of activities in the IE are difficult to discern and “real-world” effect ...

This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

There is tremendous potential to manufacture printed electronics in a more sustainable, flexible, faster, and less costly way. However, innovations in materials have been required for full scale manufacturing. In their successful Phase I, ChemCubed (C3) developed a nanocomposite dielectric with electrical and thermal properties similar to those of FR4 boards currently used in PCB manufacturing. In ...

The ability to quickly test materials during new technology development would provide actionable insight that would significantly reduce materials and device design iterations and accelerate time-to-market. However, conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control, and fai ...

We propose the continuation of development for the Autonomous Data Acquisition and Processing Technologies (ADAPT) payload. This open source system will manage data collection from onboard sensors, particularly imaging sensors, and provide actionable intelligence by enabling in-flight, real-time application of DNN image processing to support a variety of missions. We will substantially reduce the ...

Poseidon Systems, LLC is seeking the support of National Institute of Standards and Technology (NIST) for development of a portable grease sampling system. Under this effort, Poseidon and partners will develop and test an initial version of the system. The system will interrogate the manually collected grease sample with an adapted FerroQ ferrous metal debris monitoring sensor, plus other key meas ...

This SBIR Phase II project proposes to integrate an easy to use, inexpensive, and portable bacterial concentrator with a handheld pathogen detection system to enable ultra-low cholera pathogen (Vibrio cholerae) detection. Cholera affects communities across 41 countries, including in Yemen, where in the first 5 months of 2020 has had 110,000 suspected cases. Current methods used to detect the chole ...

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 ...

This Phase II SBIR project will continue the development of an optical sorter that will be used to estimate drop sizes in sprays. The optical sorter will determine the size of drops in the 0.1 to 10 microns range. Drops in this size range are prevalent in the automobile industry, where the fuel injection pressures have increased tremendously over the past two decades. These newer injectors provide ...