Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

Standard in vitro lab tests can help elucidate a patient’s health and diagnose several possible medical conditions to be monitored. Cost, patient and lab time, and patient discomfort, mean that these tests are done infrequently, and are limited to suspected morbidities. The invasive nature of most tests (requiring blood draws, urine samples, etc.) limits what is measured, and how often. In the ...

Post-traumatic stress disorder (PTSD) is a psychiatric disorder that can develop after experiencing distressing events such as combat, serious accidents and injuries, or threats. While 8 million adults are affected in the United States each year, the disorder is especially prevalent for military service members, with estimated rates as high as 20-30% for Iraq and Afghanistan veterans. To prevent s ...

Satellite Imagery in Geospatial Intelligence (GEOINT), in conjunction with imagery intelligence (IMINT), geospatial information, and other means of gaining intelligence, has greatly improved the potential of the warfighter and decision makers enabling them to gain a more comprehensive perspective, an in-depth understanding, and a cross-functional awareness of the operational environment. The Artif ...

To address the challenges posed by verification and validation (V&V) of artificial-intelligence (AI) and machine-learning (ML) for high assurance in safety-critical functions of armaments systems, ARiA and Arizona State University (ASU) will develop and demonstrate the feasibility of the Machine Learning Qualification Process (MLQP). The Phase I effort will (1) research and develop fundamental met ...

Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections ...