Technical Session Agenda
Optimizing Neural Network Run-to-Run with Nonthreaded Concept
Presenter: Ivan Chen, Applied Materials
Date and Time: Tuesday, October 8, 1:00 – 1:30 pm EDT
Presentation Highlights
Discover how our innovative machine learning control method handles non-thread control effortlessly.
Our approach eliminates the need for data collection for every thread by combining context information and physical knowledge. Witness the impressive real production results of this method.
Enhance ML system stability and efficiency with our Python HA/LB architecture. Build ML servers for reliable R2R performance prediction in real-world applications.
Explore the future of ML controls. In 2020, we showcased the potential of neural networks in forecasting process drift with our RNN and CNP model structure.
Unlock the true potential of machine learning in real-world controls.
Authors
- Ivan Chen
- Tony Li
- Shijing Wang
- Yeo Zi Ping Leonard
- Ko Ko Win
- Tristan Yu
- Allen Yang
Abstract Number: 24003
