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Time to Rethink Risk Itself as AI Hits Industrial Defect Detection

What advancements have been made in neutron radiography, a form of nondestructive testing, over the past 50 years? What's next? Could AI and machine learning play a role in minimizing risk of complex, mission-critical technology?

These are the types of questions writer Harry Red sets out to answer in an article titled "Time to Rethink Risk Itself as AI Hits Industrial Defect Detection" for Deep Tech AI.

The article features SHINE, including thoughts from founder and CEO Greg Piefer.

"[Neutron radiography] is an application where I think a machine learning algorithm can very easily find the defects," Piefer says.

Read the full article for a better understanding of neutron imaging and where it is headed.