Defense Advanced Research Projects AgencyTagged Content List

Mathematics

Ultimate truth

Showing 21 results for Math + News RSS
06/16/2014
Scientists and engineers in DARPA’s Defense Sciences Office (DSO) promote and exploit new discoveries across the frontiers of physics, chemistry, and mathematics to identify and accelerate potentially game-changing technologies for U.S. national security. After recently spinning off biological technologies into a new office, DSO’s investment portfolio, which continues to create new materials and explore the boundaries of physical phenomena, is expanding to include novel approaches to understanding, predicting, designing, and developing engineered complex systems.
09/11/2014
The exponential growth of diverse science data represents an unprecedented opportunity to make substantial advances in complex science and engineering, such as discovery of novel materials or drugs. However, without tools to unify principles, results, models and other kinds of data into a single computational representation, it is difficult to relate data from any one scientific problem or area to the broader body of knowledge.
01/08/2015
Uncertainty is sometimes unavoidable. But in the world of scientific computing and engineering, at least, what’s worse than uncertainty is being uncertain about how uncertain one is.
03/19/2015
Whether designed to predict the spread of an epidemic, understand the potential impacts of climate change, or model the acoustical signature of a newly designed ship hull, computer simulations are an essential tool of scientific discovery. By using mathematical models that capture the complex physical phenomena of the real world, scientists and engineers can validate theories and explore system dynamics that are too costly to test experimentally and too complicated to analyze theoretically.
01/29/2015
Robots can learn to recognize objects and patterns fairly well, but to interpret and be able to act on visual input is much more difficult.  Researchers at the University of Maryland, funded by DARPA’s Mathematics of Sensing, Exploitation and Execution (MSEE) program, recently developed a system that enabled robots to process visual data from a series of “how to” cooking videos on YouTube. Based on what was shown on a video, robots were able to recognize, grab and manipulate the correct kitchen utensil or object and perform the demonstrated task with high accuracy—without additional human input or programming.