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 ...

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 ...

This Phase I proposal in research partnership with Rutgers the State University aims to explore the range of inorganic glass systems which are dissolvable in saline solutions at human body temperatures. Glasses in the Na2O-K2O-CaO-B2O3-P2O5 system with varying Na2O/K2O/CaO and B2O3/P2O5 will be melted. Glass substrates will be made which will be subjected to varying phase separation treatments in ...

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. � ...

NGA uses deep networks for many tasks including image registration, land cover segmentation, and object detection. Current deep learning approaches develop specialist networks for each task and type of data. Not only is this inefficient, because networks can’t be reused across tasks, this approach ignores correlations between tasks and data sources that can improve performance. In response, we w ...

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 ...

Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...

The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...