AFRL posts Deep Learning for Actionable Intelligence Discovery and Exploitation BAA

AFRL 112On March 4, the Air Force Research Laboratory posted a broad agency announcement for Deep Learning for Actionable Intelligence Discovery and Exploitation (BAA NUMBER: BAA AFRL-RIK-2015-0014). The FY17 submission date for white papers has been changed to August 1, 2016.

The goal of this Broad Agency Announcement (BAA) is to develop and demonstrate a time-dominant data fusion and closed-loop Intelligence, Surveillance and Reconnaissance (ISR) system for intelligence customers. The system will automate threat detection and classification with speed and precision and in a tactically relevant timeframe, automate the generation of in-mission intelligence reports, and be responsive to intelligence squadron needs. This announcement is for acquisition under the Neuromorphic Fusion of Timely Intelligence (NFTI) program.

The first objective is to develop an Exploitation Cloud that is significantly, if not completely, insusceptible to agile threats that attempt to deceive our RF/SIGINT (Radio Frequency/Signal Intelligence) products which rely on time difference of arrival (TDOA) based information. The Exploitation Cloud will also be designed to combat advanced tactics in camouflage concealment & deception (CC&D). The second objective is to “Close the ISR Loop” by developing the Actionable Intelligence Discovery and Exploitation (AIDE) service on a modernized SOA (Service-Oriented Architecture). AIDE will be cognizant of intelligence squadron needs through Human Intelligence (HUMINT) analysis of former and current mission intelligence reports, as well as other contextual information such as analyst chat/chat logs. AIDE will have the capability to deliver new actionable intelligence from the Exploitation Cloud or open-source intelligence (OSINT). The system will automatically generate tactical and in-mission intelligence reports.

Prioritization on the discovery and exploitation of additional intelligence pertaining to detected emerging threats can be automatic or managed by an analyst or squadron commander with human-system integration in mind. The final objective is to focus the advanced raw data fusion capability of the Exploitation Cloud on the collection and processing of both known and unanticipated threats by responding to the analyst and mission needs derived from the second objective. This final objective also serves to reduce the communications bandwidth required for raw data fusion by only transmitting data within the aerial network that is required for high priority intelligence gathering. The goal is to seamlessly and pervasively capture user and mission intelligence needs to limit additional analyst search/query tasks and manual intelligence report documentation.


Full information is available here.

Source: FedBizOpps