Award Data

The objective of this project is to develop a compact and efficient avalanche photodiode (APD), operating between 210-260 nm, for implementation in the next generation bio-chem-detectors. The proposed detectors will be based on the AlGaN materials system and will be solar blind, highly sensitive, smaller, less expensive, and more robust than current UV detectors. Development of such APDs will enab ...

The future success of military teams operating in dynamic and uncertain environments will require the incorporation of artificial intelligence (AI) to help structure those teams, create plans of actions, execute those plans, and adapt plans as the environment and goals change. Successfully combining human of AI team members can achieve better results than either could on their own, but an uninform ...

Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-modal, multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematica ...

Spero Devices is proposing the development of an analog co-processor to accelerate computation of partial differential equations (PDEs) prevalent in scientific simulation. Examples include Navier-Stokes equations for computational fluid dynamics (CFD) an...

Stottler Henke proposes PACT to address the threat posed by unknown/novel bacteria. Stottler Henke’s solution leverages AI/ML technologies to assess the pathogenic potential of unknown/novel bacteria for DARPA’s Biological Technologies Office. Threat assessment is inferred from phenotype as characterized by a series of assays developed by Harvard University as part of DARPA’s Friend or Foe p ...

Building on our prior research in group discovery and tracking, we propose to develop new algorithms for predicting future behaviors of social media groups. These algorithms will be based on emerging social interaction theories and new computational models of group dynamics at multiple levels, from individual roles and interactions to aggregate trends within and across groups. Our approach takes a ...

As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many DoD ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

Recent reports indicate the activity of more than 6,000 botnet C and C servers. 70 million zombies are responsible for 80 percent of SPAM. Given the exponential growth of the botnet threat, the security of our nation s cyber infrastructure demand automated botnet activity monitoring solutions. In Phase I, Milcord developed a feasibility prototype of a Bayesian Activity Monitor for Botnet Defense. ...