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Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...
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Deep learning automates defect detection in 2D materials - MSN
More information: Shiru Wu et al, Point Defect Detection and Classification in MoS2 Scanning Tunneling Microscopy Images: A Deep Learning Approach, Molecules (2025).
Yes, it still makes plenty of mistakes, but it has become part of the job for many.
Orin also includes dedicated Deep Learning Accelerators (NVDLA) for steady, power-efficient inference, keeping the GPU free ...
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