Summary AI excels at spotting semiconductor defects, but training models for various inspection tools and textures remains a challenge. Once trained, AI outperforms traditional methods. Nordson’s ...

Traditional testing methods fail to navigate this challenge due to their limited visibility below the pass/fail limits, discarding perfectly good chips or letting small defects slip through to the ...

Experts at the Table: Semiconductor Engineering sat down to discuss the rapidly ... Professor Sean Blanton published a paper analyzing the root causes of various defects, and he found that a lot of ...

Using weak materials can lead to the formation of molding defects. Efficient heat transfer is necessary during the injection process to reduce cycle times and improve part quality. Materials with high ...