Award Data

There are many situations in DOD missions when soldiers could operate much more effectively if they could successfully recall previously presented information that is vital for mission execution. However, the quantity of information supplied to today’s Warfighter is constantly increasing. This is due to greater reliance on network-centric operations and the expanding range of missions Warfighter ...

We propose to develop a computational model of leadership designed to capture complex variables including cultural differences in leadership requirements along with task differences, primarily ill-defined goals, which pose leadership challenges. Rather than avoiding these kinds of complexity and developing a computational model that is unlikely to scale up, we believe there is more to be gained b ...

Recent materials development together with an improving understanding of organic transistors has enabled solution-processed materials that show good performance, with high transparency in the visible range. In this program, leveraging on our extensive experience in organic material development and large scale organic material deposition by solution based processing, Agiltron and Stanford Universit ...

An innovative hydraulic spreader tool that can be powered by liquid fuel or manual means is proposed. The advanced development of the spreader tool will follow a step-wise progression of computer-aided design followed by physical construction, demonstration and government review until the full performance requirements have been met and a hand-held spreader tool prototype has been delivered to DARP ...

In Phase I of UBER-HEB, the Aptima team made significant progress designing a non-von Neumann hierarchical universal learning system based on the Ersatz Brain Architecture (EBA). An experiment using an EBA implementation showed emergence of module assemblies, a critical step in validation. In Phase II, we propose to focus sharply on an important, well-characterized problem ideally suited to the EB ...