This inventor holds 6 USPTO granted patents and 4 published patent applications and 2 EPO patents. Top assignees: Asml Netherlands B.v., Asml Netherlands. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Yu Cao - Innovator in Machine Learning for Feature Placement
Introduction
Yu Cao is a prominent inventor based in Saratoga, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of feature placement in technology.
Latest Patents
Yu Cao holds a patent titled "Machine learning based subresolution assist feature placement." This innovative method involves training a machine learning model to generate a characteristic pattern. The process includes obtaining training data associated with a reference feature in a reference image. The training data consists of location data for each portion of the reference feature and a presence value indicating whether that portion is located within a reference assist feature. The model is trained to predict a presence value based on actual data, minimizing the metric between predicted and actual values.
Career Highlights
Yu Cao is currently employed at ASML Netherlands B.V., where he applies his expertise in machine learning to advance technology in the semiconductor industry. His work focuses on improving the efficiency and accuracy of feature placement, which is crucial for the development of advanced electronic devices.
Collaborations
Yu collaborates with notable colleagues, including Jun Tao and Christopher A. Spence. Their combined efforts contribute to the innovative projects at ASML, enhancing the company's capabilities in machine learning applications.
Conclusion
Yu Cao is a key figure in the realm of machine learning and feature placement, with a patent that showcases his innovative approach. His work at ASML Netherlands B.V. and collaborations with esteemed colleagues further solidify his impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
