Company Filing History:
Years Active: 2025
Title: Innovations by Jui-Che Lin
Introduction
Jui-Che Lin is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of electronic device manufacturing, particularly in the realm of machine learning. With a total of 2 patents, Lin's work focuses on enhancing manufacturing processes through innovative methods and mechanisms.
Latest Patents
Lin's latest patents include "Methods and mechanisms for preventing fluctuation in machine-learning model performance." This invention involves an electronic device manufacturing system that receives input data reflecting features related to the manufacturing process of a substrate. The system generates a characteristic sequence that defines the relationship between manufacturing parameters and determines the relationship between variables related to the feature and the characteristic sequence. It also calculates a weight based on this relationship and applies it to the feature, ultimately training a machine-learning model with the weighted feature.
Another significant patent is "Methods and mechanisms for generating virtual knobs for model performance tuning." This invention also utilizes an electronic device manufacturing system that receives input data reflecting a feature related to a substrate manufacturing process. The system trains a machine-learning model based on this input data and modifies the model in view of the virtual knob for the feature.
Career Highlights
Jui-Che Lin is currently employed at Applied Materials, Inc., where he continues to innovate in the field of electronic device manufacturing. His work has been instrumental in advancing the capabilities of machine learning in manufacturing processes.
Collaborations
Lin collaborates with talented individuals such as Chao-Hsien Lee and Shauh-Teh Juang, who contribute to his projects and enhance the innovative environment at Applied Materials, Inc.
Conclusion
Jui-Che Lin's contributions to electronic device manufacturing and machine learning are noteworthy. His patents reflect a commitment to improving manufacturing processes through innovative solutions. His work continues to influence the industry positively.