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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/
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.
View all episodes
By Rigaku
5
66 ratings
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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