Defense Advanced Research Projects AgencyTagged Content List

Foundational Strategic Technologies and Systems

Versatile enabling technologies that could lead to entire new classes of capabilities

Showing 11 results for Tech-Foundations + Programs RSS
State-of-the-art magnetometers are used for diverse civilian and DoD applications, among them biomedical imaging, navigation, and detecting unexploded ordnance and underwater and underground anomalies. Commercially available magnetometers range from inexpensive Hall probes to highly sensitive fluxgate and atomic magnetometers to high-precision Superconducting Quantum Interference Device (SQUID) and Spin Exchange Relaxation Free (SERF) magnetometers.
The Cross-Domain Maritime Surveillance and Targeting (CDMaST) program seeks to identify and implement architectures consisting of novel combinations of manned and unmanned systems to deny ocean environments to adversaries as a means of projecting power. By exploiting promising new developments in unmanned systems along with emerging long-range weapon systems, the program aims to develop an advanced, integrated undersea and above-sea warfighting capability able to execute long-range attacks against submarines and ships over large contested maritime areas.
The goal of the Fundamental Design (FUN Design) program is to determine whether we can develop or discover a new set of building blocks to describe conceptual designs. The design building blocks will capture the components’ underlying physics allowing a family of nonintuitive solutions to be generated.
Scientific imagination is critical to our economy as well as our national security and defense. Research and development, as an expression of scientific imagination, is now a global and intensely competitive enterprise. This competition is heightened by digital and network disruptors that increase the speed and extend the borders of idea exchange affecting the nature and spread of threats and opportunities. Organizations fundamentally based on shaping the future need to leverage every possible advantage to succeed in this environment.
Social media, sensor feeds, and scientific studies generate large amounts of valuable data. However, understanding the relationships among this data can be challenging. Graph analytics has emerged as an approach by which analysts can efficiently examine the structure of the large networks produced from these data sources and draw conclusions from the observed patterns.