Award Data

Spero Devices is proposing design of a memristor-CMOS co-processor to implement analog Discrete Fourier Transforms (DFTs). The analog co-processor invokes spectral methods to solve a class of linear and non-linear partial differential equations (PDEs) arising in the scientific simulation of complex systems. Current PDE solution methods are inefficient and often intractable due to limitations assoc ...

It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...

We propose to mature LG-X glider technology by manufacturing full-scaled prototypes and characterizing them in land-based flight-testing by using commercial aircraft to drop the gliders. Validated components such as the landing parachute, folding wing mechanism, and autopilot control system will undergo integrated flight-testing. Logistic Gliders will provide a considerable cost share to support ...

Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

We propose to develop a Visual Context Understanding (Vis-CU) intelligent agent.Vis-CU tightly integrates vision processing with cognitive reasoning.The vision processing draws the wide array of vision processing capabilities, integrated through the University of Michigans sparse component model into the Soar Cognitive Architecture (Soar).This tight integration facilitates the development of a ric ...

The unique scale, population density, complexity, and connectedness of megacities requires new tools for detecting and assessing risks related to civil unrest, rule of law, terrorism, and other sources of instability, and for understanding the underlying dynamics. In addition, gray zone operations pose a new and strategically important class of threats to the stability of nation states and cities ...

Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a 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 mathematical models of u ...

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 ...