Award Data

Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...

The modern warfare environment has demonstrated an ever-increasing need for electrical power and energy carrying capacity. Soldiers are now expected to carry in excess of 20lbs of batteries for a 72-hour mission. This weight only increases when operating specialized equipment such as communication, targeting, or mobility equipment. As a consequence, lithium-ion (Li-ion) battery packs have become t ...

In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

The objective of this feasibility study is to assess the concept of using LiDAR to detect, track, and identify sUAS threats assisted by Artificial Intelligence (AI) agents. Inherent in this objective is concept development and feasibility assessment of Machine Learning (ML) and AI algorithms for creation and use of LiDAR target profiles for sUAS surveillance and identification. This objective will ...

Frequency-modulated continuous wave (FMCW) lidar is the optimal solution for cost-appropriate ground-based imaging and discrimination of small UAS at the 3 km range. In this effort Polaris will first design and assess various FMCW lidar system configurations for SOCOM’s use case. Second, Polaris will employ an innovative approach to machine learning (ML) in which innovative techniques which offe ...

This proposal addresses the algorithm research and development of structure and iterative discovery for image detection, identification, annotation, and understanding. Our approach is inspired from the ability of humans to encapsulate and develop mental models and the ability of AI to algorithmically learn and contribute to the identification of features, textures, and salient and camouflaged char ...

When there is a contested environment, and SOCOM needs no-compromise ultra-secure communications, the IERUS Technologies Low-SWaP Ultra-Secure Tactical OTM Communication System (LUTOCS) is there. Utilizing an open agile architecture based on software defined radio (SDR) technology to implement advanced software and hardware solutions, the system is tailored for optimal performance in dynamic situa ...

This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

Endo-atmospheric flight at hypersonic speeds creates an extraordinarily harsh aerothermal environment which may lead to the formation of an ionized plasma layer around some parts of the vehicle. Free electrons in this plasma layer are formed via a combination of collisional ionization and oxidative reactions with carbon products and contaminants. From the perspective of electromagnetic interaction ...