Award Data

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 ...

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 ...

Carbonics will partner with Georgia Tech to innovate and develop DC/RF device models and RF integrated circuit CMOS prototypes for operation at deep cryogenic temperatures with superior performance with low power consumption and enhanced noise performance. Our approach will adopt state-of-the-art semiconductor technology that includes bulk CMOS, CMOS SOI, and FinFET. Our plan is to commercializ ...

In the field, warfighters are exposed to a complex set of stressors. Increasingly heavier combat loads, extreme environmental conditions, and improper nutrition are a few examples. Unfortunately, the effects on their physical and cognitive performance are not well understood, which can negatively affect the decision-making processes causing tactical errors leading to operational or strategic conse ...

We are proposing to design and fabricate an advanced monolithic 3D blade trap, which will be much more powerful and more stable than typical blade traps. Our design will incorporate features that will radically improve the trap operational capabilities over today’s standards. The trapping zone will be cut up into spatially distinctive sections, each of which will be optimized for performing a sp ...

Storagenergy Technologies Inc. proposes a novel methodology that allows for the 3D printing of different wholly thermally cured thermosets in a fast and precise fashion mask-image-projection-based -Stereolithography (MIP-SLA) additive manufacturing process. The proposed MIP-SLA based approach has several advantages over other technologies for additive manufacturing of thermoset polymers, including ...

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 ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

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 ...

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 ...