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Extensive validations on the hardware implementation of the new architecture using single- and multi-class machine learning datasets show potential for significantly lower energy than the existing AI hardware architectures. In addition, we demonstrate test accuracy and robustness matching the software implementation, outperforming other state-of-the-art machine learning algorithms. This article is part of the theme issue 'Advanced electromagnetic non-destructive evaluation and smart monitoring'.Eddy current pulsed thermography (ECPT) h
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