Award Data

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

In this proposal, we present an approach for building the Internet Cleanroom (IC) that represents a radical departure from prior and current Internet security tools and practices. Where today's information security tools and practices focus either on building better software, filtering mechanisms such as firewalls to prevent remote exploitation, or building tools to detect compromises, the propose ...

There is potential for intense, pulsed and non-uniform electromagnetic fields (EMFs) to exist within DoD tactical aircraft, and the potential for such EMFs to degrade pilot performance and lead to serious mishaps including loss of life. Proposers will begin with a methodical study of the actual EMF environments in the cockpits of representative aircraft to establish nature of any extreme fields pr ...

DARPA has identified an opportunity to leverage recent advances in Virtual Reality (VR) and Augmented Reality (AR) technology to develop a robust tool for distributed collaboration across a number of use cases.  That is a system for conducting collaborative meetings between users that can be anywhere and where the only limitation to participation is the availability of wireless network access.  ...

Opterus Research and Development, Inc. (Opterus) and Colorado State University (CSU) have combined the best features of high strain composites (HSC), continuum robots, and tendon actuated robots to develop a new concept called Continuum Actuated Redundant Tendon (CART) Robot to enable self-reconfigurable modular robots that can perform various tasks (e.g., walking, crawling, wheeling, and grasping ...

Phase I technical work will be focused on feasibility demonstrations for new concepts in materials and advanced manufacturing spanning target applications of interest to DARPA (inductors, transformers, and motors).  To reduce program risk while ensuring aggressive progress towards required metrics, two material and manufacturing pathways will be pursued by university partners of CorePower Magnet ...

Spatial disorientation errors in pilots of both civilian and military persuasion have plagued aviation for over 100 years.  This persistence suggests that the disruption of a subconscious orientational system might be partially at fault, influencing pilot decisions that lead to these often-fatal errors.  Our collaborators at Caltech recently discovered that alpha waves in the human brain respond ...

Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...

With the recent development of structures that enable morphing aircraft, there is a need for a skin material capable of high in-plane strains while resisting aerodynamic loads. NextGen Aeronautics has partnered with the University of Pittsburgh to develop a fiber reinforced shape memory (SMP) matrix composite material for morphing wing skins. By pairing a fiber with an SMP matrix a composite is ...

Software and hardware flaws can be exploited to make programs perform unintended computations or leak sensitive data. We propose to counter these threats by isolating libraries and other program units inside a single process. The developer will insert source-level annotations that i) map code and data units to compartments and ii) capture how each compartment is intended to interact with others, i ...