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Identify early indicators of risk by analyzing timing margin data from within the chip.
3d
Interesting Engineering on MSNPore no more: US scientists develop real-time defect detection for 3D metal printingThe method predicts keyhole pores in 3D printed metal parts by using a combination of thermal imaging, X-ray imaging, and machine learning.
Such software is trained on two sets of images: one to teach the algorithm how to recognize a face (“face detection”) and ... Restaurants and hotels are using it to make sure the staff is ...
Abstract: This study introduces an advanced defect inspection model that utilizes object detection techniques to identify defects in Flip Chip cross-section images. The model serves as a valuable tool ...
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