DARPA Selects BAE Systems to Develop Machine Learning Capabilities for Space Situational Awareness
August 13 2019 - 10:00AM
Business Wire
BAE Systems has been awarded a Phase 2 contract to develop
machine learning capabilities aimed to help the military gain
better awareness of space scenarios for the U.S. Defense Advanced
Research Projects Agency (DARPA). The goal of DARPA’s Hallmark
Tools, Capabilities, and Evaluation Methodology (Hallmark-TCEM)
program is to not only develop and evaluate tools and capabilities
that increase an operator’s understanding of space events, but also
enhance the ability to select effective courses of action for any
given situation.
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BAE Systems will develop machine learning
capabilities aimed to help the military gain better awareness of
space scenarios. (Image: BAE Systems, Inc.)
Space assets such as satellites are becoming increasingly
important and relied upon by the Department of Defense for
communications, surveillance, and security. As part of
Hallmark-TCEM, BAE Systems’ FAST Labs™ research and development
team will build cognitive-based machine learning algorithms and
data models aimed to give space operators the ability to identify
abnormal activities and predict possible threats. The team will
build on Phase 1 work of the program, and continue to leverage the
decade-long development of the company’s Multi-INT Analytics for
Pattern Learning and Exploitation (MAPLE) technology with a
solution called MAPLE Automates Joint Indications and Warnings for
Cognitive Counter-Space (MAJICS).
“Our technology builds data models based on normal activity and
then ingests large amounts of real-time, streaming data to compare
against the normal model and determine if any abnormal activity is
occurring or will occur,” said Dr. John Hogan, product line
director of the Sensor Processing and Exploitation group at BAE
Systems. “By using this technology, we hope to reduce the
operator’s workload by providing a solution that will automatically
predict space events such as launches or satellite movements based
on millions of pieces of data, helping them make rapid decisions to
avoid any potential threats.”
BAE Systems’ research on the Hallmark-TCEM program adds to the
company’s machine learning and artificial intelligence segment of
its autonomy technology portfolio. The capabilities developed under
the Hallmark-TCEM effort will be integrated into DARPA’s Hallmark
Software Testbed (Hallmark-ST) program. Work for the program will
be completed at the company’s facilities in Burlington,
Massachusetts and Reston, Virginia.
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Paul Roberts, BAE Systems Mobile: 603-521-2381
paul.a.roberts@baesystems.com ww.baesystems.com/US
@BAESystemsInc
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