Award Data

The focus of our Intelligence and Intuition for Enhanced Decision Making (I2EDM) Phase 1 research is to provide efficient and timely automated production and dissemination of information products in support of doctrinal Decision Points for the Company and below in austere environments. Operating in the Cloud, I2EDM will continuously fuse tactical information with human intuition and experience to ...

We propose to enhance the capability of ASTRAL/ASPM by adding to it a treatment of several physical phenomena. Several methods enabling these new features have been developed and tested in recent years and are mature enough for transition. Efforts will be made to ensure the enhancement will not come with significant loss of efficiency. The Phase I effort consists of incorporating into ASTRAL/ASPM ...

Software continues to be a weak link in our critical systems. A prudent operator should employ a defense-in-depth strategy whereby"safe"systems are still monitored to detect breaches and respond to them. Unfortunately, such monitoring is challenging in practice, since there is no universal pattern that characterizes misbehaving software. We will capture an application"s intended behavior as it is ...

Complex software systems are typically developed by disparate engineering teams working concurrently. At the same time, software requirements are frequently dynamic, evolving even during active development cycles. Discrepancies between how software is defined and how it is implemented at the modular level can cascade into critical system errors when modules are integrated. More troubling is that i ...

Vescent Photonics proposes to develop a compact laser system and integrate it with a cold-atom micro primary standard developed under the DARPA IMPACT program. In phase I we will investigate performance enhancements resulting from immobilizing the cold-atom sample with an optical lattice formed from an optical field whose wavelength is chosen to minimize the differential light shifts between the s ...

The overall objective of the Phase I and Phase II proposed effort is to design and demonstrate the ability to develop a high-speed shock tolerant composite flywheel energy storage system (FESS) using a low cost manufacturing process. The Phase I tradeoff design studies will assess the FESS size, operating speeds and material requirements needed to achieve the energy density levels and charge/disch ...

This STTR Phase I project will demonstrate the feasibility and effectiveness of novel biologically-inspired computational memory models for on-board exploitation of long-duration sensor data streams to enable autonomous missions in unknown environments. The key innovation in this effort is a computationally and space-efficient computational memory model that is able to: i) handle long-duration dat ...

Aurora Flight Sciences and MIT have been developing tools and techniques that, together with existing 3D environment decision-making and navigation tools developed by AMRDEC in the PALACE program, are well-suited to the problem of autonomous vertical landing on unprepared landing sites. In this program, Aurora will team with MIT researchers and UC Santa Cruz (UCSC licenses PALACE technologies for ...

Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

Images with associated text are now available in vast quantities, and provide a rich resource for mining for the relationship between visual information and semantics encoded in language. In particular, the quantity of such data means that sophisticated machine learning approaches can be applied to determine effective models for objects, backgrounds, and scenes. Such understanding can then be used ...