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Factory Digitalization Ver13. “How to Incorporate Seasonal Factors into AI Learning”
This article explains why foundries are strongly affected by seasonal changes and how temperature, humidity, and weather influence casting quality. It also describes the challenges of teaching AI seasonal patterns when product cycles are short, and why long‑term production enables highly effective seasonal AI that can reduce recurring summer defects.

Shigenori Tanaka
5月27日読了時間: 2分
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