BAE Systems awarded funding for DARPA's SIGMA+ programme
BAE Systems to develop advanced analytics technology to assist in the detection and deterrence of mass destruction activity, helping to protect national security.
BAE Systems is to develop advanced analytics technology that will assist in the detection and deterrence of weapons of mass destruction activity under funding from DARPA.
The company will carry out the work under phase one of DARPA’s SIGMA+ programme, along with partners Barnstorm Research and Washington State University.
The technology, called Multi-info Alerting of Threat CBRNE Hypotheses (MATCH), will leverage multiple data sources and uses data fusion, adversary modelling, pattern matching, and machine learning techniques to detect and identify indications of CBRNE threat.
MATCH will automatically populate a world graph using sensor and multi-source data to provide analysts visibility into threat activities in a metropolitan region. Using the graph, MATCH will create hypotheses that identify and characterise threatening CBRNE activity.
Chris Eisenbies, product line director of the Autonomy, Controls, and Estimation group at BAE Systems, said: ‘Our technology aims to help analysts close the loop between the analysis of information and the collection of new information to fill in the gaps and provide a comprehensive picture of a potential threat.
'Most importantly, our solution automates a process that is currently manually intensive, improving an analyst’s ability to quickly and accurately identify CBRNE activity and ultimately, helping to protect our country from these significant dangers.’
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