Dr. Diebold Returns! A Deep Dive on his thoughts on Near Fab, Lab to Fab and Artificial Intelligence

Dr. Diebold is back for another episode! This time, he deep dives into Lab to Fab, Near Fab artificial intelligence.
Join us as we discuss:
Examples of Lab to Fab Transitions
Machine Learning – How to Deal with Big Data
Key Takeaways from the 2022 Frontiers Conference:Machine Learning vs Regular Algorithms,

How to address the talent gap in the semiconductor industry  


Reach out to Markus for any potential guest requests or episode ideas here: https://www.linkedin.com/in/markus-kuhn-4b502110/
For the latest in new Metrology Techniques and Solutions check out https://rsmd.rigaku.com/
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