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DSIAC was tasked with finding reports and relevant information on what risk factors, risk assessments, data sources, and algorithms are used for determining real risk to the DIB. The inquirer was looking for risk factors…
The Defense Systems Information Analysis Center (DSIAC) was asked to locate systems for swarm drone missions and pattern analysis for radiation detection. DSIAC searched open-source documents for relevant information and contacted subject matter experts…
DSIAC was asked for research papers, journals, and points of contact relevant to threat evaluation and weapon assignment (TEWA) algorithms to assist in the development of algorithms to assign threat values to hostile targets. DSIAC…
The Defense Advanced Research Projects Agency (DARPA) made headlines last fall when it announced that it was pledging $2 billion for a multiyear effort to develop new artificial intelligence (AI) technology. “Months later, DARPA’s ”AI Next” program is already bearing fruit,” said Peter Highnam, the agency’s Deputy Director. “DARPA — which has, for decades, fostered
Next-generation algorithms and sensors for detecting chemical threats put through their paces in SIGMA+ program. May hold promise for military use in development of large region scale chemical, biological, radiological, nuclear, and explosive threat threat detection networks. DARPA’s SIGMA program, which began in 2014, has demonstrated a city-scale capability for detecting radiological and nuclear threats
What can fly like a bird and hover like an insect? Your friendly neighborhood hummingbirds. If drones had this combo, they would be able to maneuver better through collapsed buildings and other cluttered spaces to find trapped victims. Purdue University researchers have engineered flying robots that behave like hummingbirds, trained by machine learning algorithms based