Raytheon Applies AI, Machine Learning to Defense Tech Modeling, Simulation

Raytheon Applies AI, Machine Learning to Defense Tech Modeling, Simulation
Raytheon MDC video wall

Raytheon Technologies has infused emerging technology into the company’s modeling and simulation process as part of efforts to help defense customers visualize the performance of weapons systems before they make procurement decisions.

The company said Wednesday an engineering team within its missiles and defense business used artificial intelligence and machine learning to put a Standard Missile-3 Block IIA missile through digital testing ahead of a flight test demonstration conducted by the U.S. Navy and the Missile Defense Agency in November last year.

Engineers collected and integrated data from previous SM-3 interceptor tests into a model as part of the process.

“AI and machine learning are critical to the company's modeling and simulation framework,“ Bob Fitzpatrick, vice president of requirements and capabilities at Raytheon Missiles & Defense.

“Every new flight test and every new experiment looks a little different than the last one and that means there's a lot of rapid learning happening for the company and its customers,” Fitzpatrick added.

Wes Kremer, president of Raytheon Missiles & Defense, noted that modeling and simulation could help the warfighter understand the potential of current and future platforms to gain an edge in battlefield missions.

The company received a $722.4 million contract from MDA in late October to provide SM-3 engineering and technical support to U.S. and international defense customers.

Potomac Officers Club will host its 2020 Industrial Space Defense Summit on March 23 and its 3rd Annual Artificial Intelligence Summit on March 30. To register for these virtual summits and view other upcoming events, visit the Potomac Officers Club Events page.

 

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