Defense Advanced Research Projects AgencyTagged Content List

Information or Signal Processing

Computational tools and techiques for manipulating, analyzing, and synthesizing signals and data

Showing 51 results for Processing RSS
ITA3 will determine the practical and fundamental limits to imaging using low frequency electromagnetic waves.
LADS will develop a new protection paradigm that separates security-monitoring functionality from the protected system, focusing on low-resource, embedded and Internet of Things (IoT) devices. The program will explore technologies to associate the running state of a device with its involuntary analog emissions across different physical modalities including, but not limited to, electromagnetic emissions, acoustic emanations, power fluctuations and thermal output variations.
The past decade has seen explosive growth in development and training of artificial intelligence (AI) systems. However, as AI has taken on progressively more complex problems, the amount of computation required to train the largest AI systems has been increasing ten-fold annually. While AI advances are beginning to have a deep impact in digital computing processes, trade-offs between computational capability, resources and size, weight, and power consumption (SWaP) will become increasingly critical in the near future.
The Molecular Informatics program brings together a collaborative interdisciplinary community to explore completely new approaches to store and process information with molecules. Chemistry offers an untapped, rich palette of molecular diversity that may yield a vast design space to enable dense data representations and highly versatile computing concepts outside of traditional digital, logic-based approaches.
Certain natural processes perform par excellence computation with levels of efficiency unmatched by classical digital models. Levinthal’s Paradox illustrates this well: In nature, proteins fold spontaneously at short timescales (milliseconds) whereas no efficient solution exists for solving protein-folding problems using digital computing. The Nature as Computer (NAC) program proposes that in nature there is synergy between dynamics and physical constraints to accomplish effective computation with minimal resources.