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SEMI - Cornell University R&D Project

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SEMI is supporting a proof-of-concept project at Cornell University to explore innovative applications of Data and AI to semiconductor manufacturing and the supply-chain ecosystem. The project also provides members with early access to leading talent with cross-disciplinary training in both Data-AI and microelectronics.

For details on how to participate, please contact Pushkar Apte at papte@semi.org 

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SEMI102 Artificial Intelligence for Thin Film Manufacturing

This course describes how machine learning and AI-based approaches to research, development, and production bring advantages to cleanroom processes. The team from Cornell has applied AI approaches to optimize lithography and etching processes involved in the development of an RF wake-up NEMS (Nano ElectroMechnical system) switch that needs a well-controlled gap between a moving shuttle and a contact.