Defense Advanced Research Projects AgencyTagged Content List

Adaptability

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March 5, 2019,
Executive Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Science of Artificial Intelligence and Learning for Open-world Novelty (SAIL-ON) program.
February 11, 2020, 8 A.M. EST,
DARPA Conference Center
The Microsystems Technology Office is holding a Proposers Day to provide information to potential proposers on the objectives of the Wideband Adaptive RF Protection (WARP) program in anticipation of a planned Broad Agency Announcement.
The Adaptive RF Technology (ART) program aims to significantly advance the hardware used in communication radios by developing a fully adaptive and reconfigurable architecture that is agnostic to specified waveforms and standards. ART-enabled “cognitive” radios would be able to reconfigure themselves to operate in any frequency band with any modulation and for multiple access specifications under a range of environmental and operating conditions.
Today’s electromagnetic (EM) systems use antenna arrays to provide unique capabilities, such as multiple beam forming and electronic steering, which are important for a wide variety of applications such as communications, signal intelligence (SIGINT), radar, and electronic warfare.
In order to transform machine learning systems from tools into partners, users need to trust their machine counterpart. One component to building a trusted relationship is knowledge of a partner’s competence (an accurate insight into a partner’s skills, experience, and reliability in dynamic environments). While state-of-the-art machine learning systems can perform well when their behaviors are applied in contexts similar to their learning experiences, they are unable to communicate their task strategies, the completeness of their training relative to a given task, the factors that may influence their actions, or their likelihood to succeed under specific conditions.