Company Filing History:
Years Active: 2020
Title: Richard (Seng Wee) Yeoh: Innovator in Neural Network Technology
Introduction
Richard (Seng Wee) Yeoh is a prominent inventor based in Singapore, known for his contributions to the field of neural networks. He has developed innovative methods for defect detection in low-resolution images, showcasing his expertise in artificial intelligence and imaging technology.
Latest Patents
Yeoh holds a patent for "Training a neural network for defect detection in low resolution images." This patent describes methods and systems that include an inspection tool with high and low-resolution imaging subsystems. The system features a high-resolution neural network and a low-resolution neural network, which work together to generate a training set of defect images. The innovative approach allows for the detection of defects on specimens by utilizing images generated by the low-resolution imaging subsystem.
Career Highlights
Richard Yeoh is currently employed at KLA Tencor Corporation, where he applies his knowledge and skills in developing advanced imaging technologies. His work has significantly impacted the field of defect detection, enhancing the capabilities of inspection tools used in various industries.
Collaborations
Yeoh collaborates with notable colleagues, including Kris Bhaskar and Laurent Karsenti, who contribute to the innovative projects at KLA Tencor Corporation. Their combined expertise fosters a creative environment that drives technological advancements.
Conclusion
Richard (Seng Wee) Yeoh is a key figure in the realm of neural network technology, with a focus on improving defect detection methods. His contributions continue to influence the industry and pave the way for future innovations.