With increased computational capabilities, the importance of artificial intelligence (AI) and machine learning (ML) in semiconductor manufacturing is ever growing.
While there are already many reported use cases of how AI can be applied in areas such as wafer scheduling and dispatching, unit process optimization and defect classification, the application of AI looks especially promising in the field of yield data analytics.
At SEMICON West 2022, DR YIELD will present the importance of AI and machine learning in semiconductor manufacturing with a focus on yield data analytics.
CURRENT AI APPLICATIONS
Three AI applications currently being used in yield data analytics will be presented using actual recent fab data.
FUTURE OUTLOOK:
The future outlook includes the technology roadmap for the application of AI for comprehensive semiconductor analytics to the end of the decade.
Stop by our
booth SM1 for a live demo of our data analytics software!
About DR YIELD software & solutions GmbH
DR YIELD provides the leading-edge advanced analytics software YieldWatchDog for analysis and control of semiconductor manufacturing and test data. This enables semiconductor manufacturers as well as Fabless companies to improve important manufacturing dimensions such as equipment availability, throughput, operating costs and yield. Once installed YieldWatchDog allows you to get actionable insights into your data. For detailed information click here
