Dr. Diebold Returns! A Deep Dive on his thoughts on Near Fab, Lab to Fab and Artificial Intelligence
Update: 2022-09-20
Description
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/
To make sure you never miss an episode of Understanding Semiconductors, subscribe on Apple Podcasts, Spotify, and the website.
Listening on a desktop & can’t see the links? Just search for Understanding Semiconductors in your favorite podcast player.
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/
To make sure you never miss an episode of Understanding Semiconductors, subscribe on Apple Podcasts, Spotify, and the website.
Listening on a desktop & can’t see the links? Just search for Understanding Semiconductors in your favorite podcast player.
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