Deep neural networks smarten inspection of nuclear power plants, other aging infrastructure

Mohammad R. Jahanshahi, left, an assistant professor in Purdue’s Lyles School of Civil Engineering, and doctoral student Fu-Chen Chen review results using the new system. (Purdue University image/Erin Easterling)

Nuclear power is a vital component of a low-carbon, sustainable energy future. The United States already is the largest supplier of nuclear power, with 99 reactors in 30 states. But our nation has an aging infrastructure, and inspection is crucial to keep current with maintenance, catch issues at the earliest stages, and remediate them



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