Abstract: Traditional defect classification approaches face two main challenges: insufficient training data with unstable quality, and over-dependence on visual modality. These issues are particularly ...

Abstract: In this paper, we focus on a defect analysis task that requires engineers to identify the causes of yield reduction from defect classification results. We organize the analysis work into ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...