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 ...

The harsh environment posed by hypersonic flight makes antenna design challenging due to extreme temperature exposure coupled with often competing mechanical/aero and RF performance requirements. FIRST RF proposes an advancement to its numerous conformal antenna technologies utilizing additive manufacturing of dielectric materials. This approach will decouple the competing RF and mechanical requir ...

Estes Energetics and Battelle Memorial Institute will apply a fast, affordable manufacturing technology—proven to Technology Readiness Level (TRL) 4 and Manufacturing Readiness Level (MRL) 4—that manufactures a layer of carbon-carbon directly on composite structures without requiring use of an autoclave or densification process holds, resulting in reduced manufacturing time while improving com ...

The innovation proposed here is a novel carbon-carbon composite (CCC) manufacturing method based on polymer infusion and polymerization (PIP) using a novel precursor polymer with exceptionally high char yields. This results in a material that has the promise of excellent quality and mechanical properties, while offering the breakthrough advantages of (1) greatly reduced or eliminated need for back ...

This topic identifies the need creating a Modeling and Simulation (M&S) development and execution environment that significantly decreases the time to execute statistically significant batches of stochastic simulation runs for the purpose of estimating scenario output and outcome distributions while improving statistical knowledge of the outcome distributions. The strategy sought by this topic is ...

To advance simulation techniques, such as high-fidelity computational fluid dynamics (CFD), to accelerate maturation of DACS design through design-time trade studies, there is a need for new, test-validated models that improve both computational performance and the accuracy of the reacting jet in hypersonic crossflow simulations. ATA and CUBRC (a research institution with leading expertise in aero ...

Seed Innovations (Seed) and the University of Colorado at Denver (CU Denver) apply our combined experience in artificial intelligence, machine learning, model interpretation and human-machine teaming to research and develop a prototype Deep Reinforcement Learning (DRL) explainability platform. This prototype solution, named ‘Reveal’, seeks to empower decision-makers by providing them with mean ...

The U.S. missile defense system (MDS) includes various assets located at sea, on land, and in space that provide global coverage against missile threats to the U.S. and its allies. Elements of the MDS create a layered defense capability providing detection, tracking, discrimination, and intercept capabilities against missile threats. As the MDS and its elements continue to grow and evolve to keep ...

Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...