We explicitly call for abstracts that cover the practical application of data analytics and AI in semiconductor manufacturing, for example in one of the following domains:

• Black Box vs. grey box vs. white box – how to combine engineers’ knowledge with ML / AI methods
• Combining artificial intelligence with human intelligence (“Industry 4.h”) to accelerate learning and to apply best practices (e.g., process learning, smart repair, …)
• Is AI suitable for a detection accuracy in the parts per million range?
• Experiences in using data lakes vs. legacy data base systems
• How to foster collaboration with universities and external partners by trustful data exchange, e.g., via (public) cloud platforms

Are you at the beginning of your career, writing your thesis or have you completed an exciting scientific project dealing with current challenges and future needs in advanced process control or increasing efficiency in production? We are looking for abstracts that cover the practical application of data analytics and AI in semiconductor manufacturing.

Submit your abstract by 16 February 2024!

What's in it for your:

• Chance to win award incl. 500 € & certificate
• Present your innovative topic to a high-level audience
• Exclusive opportunity: only six abstracts will be selected
• Selected talents receive free access to the conference
• Immerse yourself in the dynamic industry landscape
• Network with like-minded people and advance your career

In 2023, Tom Rothe won the award for his research titled "Can empirical physics models improve machine learning performance using planarization data?".