Award Data

ATA Engineering, Inc. (ATA), partnered with a nonprofit research institution, CUBRC, Inc., (CUBRC), proposes a Phase II STTR project to further develop and continue validating a novel multiphysics simulation technology. The project team will implement the technology in a fluid-structure-material interaction (FSMI) software toolset that incorporates mutual interactions between aerodynamics and stru ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

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 ...

Weapons systems testing and analysis is crucial to engineering, understanding, qualifying, and deploying advanced weapons systems. With the boom in camera technology over the past decade image based methods to support weapons testing and analysis have become the state of practice for military test ranges. At the same time, there has been an explosion of research and development in computer vision ...

Corvid Technologies, in partnership with North Carolina State University (NCSU), propose to leverage our computational and experimental capabilities to design experimental technology to replicate supersonic fields of interest to the customer during Phase I. Some limited experimental work will be carried out to support Phase II planning as well. Distortion patterns representative of the flowfield a ...

LongShortWay Inc. and Boston university propose development of Domain Adaptation algorithms via Classifier Fusion

Aided Target Recognition (AiTR) algorithms augment human decision-making, but require a large database of labeled targets for training. Applied to new domains, these algorithms fail to transfer knowledge and require substantial retraining. Areté and University of Alabama Huntsville (UAH) propose the development of the Domain Extracted Feature Transfer (DEFT) Network to transfer knowledge from a ...

The program has two trusts: (1) Using dynamic biasing to address arbitrary pulse trains, such as would be present in LIDAR and other forms of EO/IR imaging and periodic pulse trains, such as in telecommunications; and (2) Developing an APD the meets program requirements such as a cutoff wavelength >1.6 m, low dark current, low excess noise and a >200 K operating temperature. In the proposed ...

Risk of suicide continues to threaten both individual wellness and overall Air Force personnel readiness. The active-duty suicide rate increased 13% in 2018, while the suicide rate for veterans was 31 per 100,000 – 1.5 times greater than among nonveteran groups. Predictive analytics approaches using sensitive Electronic Health Records (EHRs) or social media data have shown promising accurac ...