Award Data

Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

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 ...

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 ...

Tissue repair and wound closure have traditionally been performed using mechanical methods, which while necessary to bring the wound surfaces into apposition and provide sufficient strength to avoid dehiscence, are associated with a variety of downstream effects that can prove deleterious to the ultimate repair.  An alternative light-based approach called Photochemical Tissue Bonding (PTB) uses c ...

Physical Sciences Inc. (PSI), in collaboration with the University of Connecticut (UConn) including Dr. Robin Bogner, with expertise in pharmaceutical freeze drying, and Dr. Carolyn Teschke, with expertise in bacteriophage biology, proposes to develop a formulation and process for lyophilization, or freeze drying, of bacteriophages for improved stability to enable bacteriophage treatments in auste ...

Physical Sciences Inc. (PSI), in collaboration with Wayne State University (WSU), proposes to develop a low cost blast surrogate testing device that can be used to evaluate next generation personal protective equipment (PPE). New material advancements could be used to mitigate the blast wave through improved PPE design, but a more advanced test surrogate is needed to inform PPE design decisions. � ...

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 ...

As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...