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Assembly Breaking News Aerospace Assembly

GE Aerospace Uses AI to Accelerate Jet Engine Design

By JJ Moore
Generative AI visualization of a hypersonic ramjet engine design developed by GE Aerospace researchers to accelerate aerospace engineering and advanced manufacturing workflows
Image: GE Aerospace
May 25, 2026

NISKAYUNA, NY— GE Aerospace researchers have developed a generative AI-powered design tool capable of producing preliminary hypersonic ramjet engine layouts in seconds, significantly reducing early-stage aerospace engineering design cycles.

The company said researchers at the GE Aerospace Research Center in Niskayuna, N.Y., successfully demonstrated the tool by generating a preliminary hypersonic dual-mode ramjet design that satisfied multiple engineering and flight-condition requirements simultaneously.

GE Aerospace said the technology could reduce early engineering design studies from weeks or months to seconds by rapidly evaluating complex design constraints and generating preliminary layouts for engineers to review and refine.

“By using generative AI tools we can significantly reduce design cycle times, enabling us to be faster to test and ultimately faster to commercialize the best, most proven end product,” said Joe Vinciquerra, general manager and senior executive director of GE Aerospace Research.

The company said the technology is being explored for both military and commercial aerospace applications, including work connected to CFM International’s RISE program, which is developing next-generation aircraft engine technologies.

GE Aerospace described the project as part of a broader effort to apply generative AI to complex engineering workflows involving physical systems and advanced manufacturing technologies.

“The engineering design studies of a hypersonic ramjet using generative AI is a tremendous proof point that shows AI’s potential to revolutionize the design process,” Vinciquerra said.

Looking for quick answers on assembly and manufacturing topics? Try Ask ASM, our new smart AI search tool. Ask ASM →

KEYWORDS: Artificial Intelligence (AI) engine manufacturing GE Aerospace

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Jj moore author

JJ joined ASSEMBLY Magazine in 2026. He has over a decade of writing and editing experience. As a lifelong learner, he particularly enjoys covering topics that are new to him and likes to keep up on emerging trends.

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