Award Data

We are proposing to enable automated discovery of machine learning pipelines on graphs using our system of accelerated primitives. While our existing technology greatly reduces the need for users to understand super-computing, it still requires expertis...

Electromagnetic spectrum (EMS) awareness continues to be a critical capability for military dominance in the field. The number, dynamics, and types of sources in an increasingly congested RF spectrum has shifted the focus of DoD research away from large ...

The team of Boston Fusion Corp. and Arizona State University proposes Phase II of Autonomous System Control via Social Insect Models (ASC-SIM). ASC-SIM provides a unified framework that combines: swarm-based scenarios of national interest; predictive soc...

Biologically-Inspired Swarm pErception and Control Technology (BISECT) is a decentralized swarm autonomy framework that enables effective management of emergent behaviors amid neutral or adversarial multi-swarm interactions. One key BISECT capability is ...

A challenge for Artificial Intelligence recommenders is explaining their reasoning to users. Humans tend to explain concepts with symbolic narratives, which contrasts the way non-symbolic machine learning represents concepts. This research addresses this challenge by grounding the research in the problem of helping transitioning veterans find relevant careers. The developed prototype will provide ...

The Special Operations Forces require the compact capability to rapidly and safely scan an enclosed space and assess the presence of drugs, explosive, or other chemicals in order to support quickly search a room for potential evidence and reduce hostile risks.Pendar is proposing to develop for the current program a handheld standoff chemical detector with a capability for 2-m standoff chemical ana ...

Intelligence, Surveillance, and Reconnaissance (ISR) platforms play an increasingly important role in modern warfare.The goal of providing timely and actionable information to the warfighter can be greatly facilitated by the ability to simultaneously collect multiple types of sensor data.Imaging one target without losing track of another target can mean the difference between mission success and m ...

Toyon Research Corp. proposes the development, testing, and integration of an in-house automated 3D reconstruction and wide-area reconnaissance pipeline that provides Special Operations Forces (SOF) mission planners with the capability of automated high-resolution 3D model/scene generation from tactical sensor data and imagery. The proposed development will incorporate algorithms identied in the P ...

This effort will analyze publicly available online communication data, uniquely applying empirical results from the cognitive bias literature, to quantify the impact of cognitive biases on exposure to, use of, and propagation of online information. SoarTech, with its partners, will develop and evaluate methods to identify and measure cognitive biases in online information environments. The team wi ...

Volatile organic compounds (VOCs) in air, especially in closed environments pose a major health threat. There is a critical need to remove these pollutant, and biofiltration is a promising solution to this need. This is a Phase II STTR proposal is to develop a novel, modular and scalable approach to biofiltration for effective management of air pollutants in closed environments. We propose a novel ...