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AI is helping NASA engineers analyse a liquid-hydrogen design and identify corrective measures within hours, according to an account of a recent conference at Florida International University. That is a concrete example of AI being used in technical engineering work, rather than another prediction about what it might do one day.

Why it matters

Edsel Sanchez, associate director of NASA’s Kennedy Space Center Engineering Directorate, described the work at FIU Business’s AI 305 Conference. The university’s account does not give further technical details, so the example is a useful signal, not a measure of how widely the method is used. In engineering, faster analysis matters most when it helps people reach sound decisions sooner.

Discuss: What evidence should NASA share to show that AI-assisted analysis improves the work, not just the turnaround time?

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