Wenyen Chang

Title: Wenyen Chang: Innovator in Machine Learning and Memory Device Health Monitoring

Introduction

Wenyen Chang is a notable inventor based in San Jose, California. He has made significant contributions to the field of memory devices through his innovative patent. His work focuses on enhancing the reliability and performance of memory systems using advanced machine learning techniques.

Latest Patents

Wenyen Chang holds a patent for a "Machine-learning-based system health monitoring of a memory device." This invention involves a system that includes a memory device comprising multiple dies and a processing device coupled to the memory device. The processing device performs health scans on a block family of the multiple dies and updates voltage offset assignments based on read samples taken during the health scan. The updated assignments are provided to a machine learning trigger rate model, which generates a code word error rate distribution for the memory device. If the trigger rate margin value associated with the distribution does not meet a specified threshold, the processing device refreshes the data associated with the block family. This innovative approach aims to improve the overall health monitoring of memory devices.

Career Highlights

Wenyen Chang is currently employed at Micron Technology Incorporated, a leading company in the semiconductor industry. His work at Micron has allowed him to apply his expertise in machine learning and memory technology, contributing to advancements in the field.

Collaborations

Wenyen Chang collaborates with talented colleagues, including Li-Te Chang and Murong Lang. Their combined efforts in research and development have fostered innovation within the company.

Conclusion

Wenyen Chang's contributions to machine learning and memory device health monitoring exemplify the impact of innovative thinking in technology. His patent reflects a commitment to enhancing the reliability of memory systems, showcasing the importance of continuous improvement in the field.