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 ...

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 ...

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 ...

In emergency medicine, time is a critical factor that can significantly influence the survival of seriously ill patients. Early recognition of clinical deterioration and rapid initial management is paramount in any setting where emergency care is provided. In military medicine and humanitarian care, delivering high quality and timely care to injured patients poses even greater and more complex cha ...

According to the Department of Defense, there were more than 400,000 known TBI diagnoses in service members between 2000 and 2019 (DVBIC, 2020). Detection and measurement of potential injury due to blast overpressure and blunt impact have been priorities of the US military for many years, especially since Operation Enduring Freedom (OEF). Among those deployed, estimated rates of probable TBI range ...