Machine Learning In Semiconductor Manufacturing

Machine learning is crucial in AI advancements and can be used in semiconductor manufacturing for predictive maintenance, reducing downtime. However, ensuring data quality and organization is essential for success. Jon Herlocker from Tignis (now part of Cohu) discusses challenges in data gathering, the need for significant computing power, and strategies for maintaining relevant data. This article is part of a series on AI in manufacturing.