Award Data

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

COVID-19, a novel coronavirus disease, induces a hyperimmune response (cytokine storm) upon infection that often leads to hyperinflammation and immunosuppression. During the immunosuppression, the body is susceptible to other infections, which potentially increase mortality rates. The Center for Disease Control and Prevention reports that the military’s cumulative hospitalization rate (2%) is 50 ...

Precision Combustion, Inc. (PCI) together with University of Michigan (UMich) proposes a system to use solar energy to convert water to ultra-high purity compressed hydrogen suitable for PEM fuel cells. We will combine UMich’s high efficiency photocatalytic water splitting approach with PCI’s integrated hydrogen separator/compressor. The proposed effort will confirm the avoidance of external e ...

This project aims to reduce the size and cost of current AEHF front-end by the integration of a compact beam-steering antenna array. The integration consists of novel antenna design, novel steering technique, and a scalable capable architecture.

Adaptive Energy (AE) is a Solid Oxide Fuel Cell (SOFC) development and manufacturing company focused on providing reliable, robust, and cost-effective SOFC products at the 100-350W power output range. AE proposes leveraging this world-leading military-grade tubular ceramic fuel cell technology with recent protonic-ceramic fuel-cell (PCFC) materials and manufacturing advances from the Colorado Scho ...

Advances in DNA sequencing technology have generated a rapid expansion of human genome information and the revelation of extraordinary individual-level genetic variation. Individual genome sequencing will soon be routine and cost-effective. To exploit this resource to the benefit of warfighters, we propose an approach for identifying and characterizing genetic variants that compromise metabolic ef ...

Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

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 ...

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 ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...