SemiEngineering
Smarter Packaging: How AI is Reshaping Assembly and Materials Control
AI is transforming advanced packaging by detecting defects early, even before they show up in metrology data. Sparse data in packaging processes complicates tuning recipes and predicting failures, but AI algorithms leveraging past data can enhance prediction accuracy. Predictive maintenance using AI helps stabilize assembly equipment, reducing downtime and improving throughput. AI also aids in traceability, excursion control, and integrating data across design, process, and assembly domains in packaging. Adoption barriers include data sharing concerns, standardization issues, and the need for explainable AI models. Companies are gradually incorporating AI into packaging processes to enhance yield and reliability.
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