This inventor holds 1 USPTO granted patent. Top assignee: Applied Materials, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Shu-Yu Chen in Machine Learning for Manufacturing
Introduction
Shu-Yu Chen is a notable inventor based in Zhubei City, Taiwan. He has made significant contributions to the field of machine learning, particularly in its application to manufacturing equipment. His innovative approach has led to the development of a unique method for generating and updating machine learning models.
Latest Patents
Shu-Yu Chen holds a patent for a method titled "Machine learning model generation and updating for manufacturing equipment." This patent describes a process that determines changes in the conditions of a processing chamber since the associated machine learning model was trained. The method distinguishes between gradual and sudden changes in conditions, allowing for tailored training processes to generate new machine learning models. This innovation enhances the adaptability and efficiency of manufacturing equipment.
Career Highlights
Shu-Yu Chen is currently employed at Applied Materials, Inc., where he continues to push the boundaries of technology in manufacturing. His work focuses on integrating advanced machine learning techniques to improve operational efficiency and equipment performance. With a patent portfolio that includes 1 patent, he is recognized for his expertise in this specialized field.
Collaborations
Shu-Yu Chen collaborates with his coworker, Hong-Rui Chen, to further advance their research and development efforts. Their combined expertise contributes to the innovative projects at Applied Materials, Inc.
Conclusion
Shu-Yu Chen's contributions to machine learning in manufacturing equipment exemplify the intersection of technology and innovation. His patented methods are paving the way for more efficient manufacturing processes, showcasing the importance of continuous improvement in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
