Machine-learning contract for space scenarios won by BAE Systems

UNITED KINGDOM. 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).

Graphic courtesy of BAE Systems.

The goal of DARPA’s Hallmark Tools, Capabilities, and Evaluation Methodology (Hallmark-TCEM) program is to develop and evaluate tools and capabilities that increase an operator's understanding of space events and enhance the ability to select effective courses of action for any given situation.

Satellites are relied upon by the Department of Defense for communications, surveillance, and security. 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 leverage the 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).