Brad Ries

Title: The Innovations of Brad Ries

Introduction

Brad Ries is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of neural networks, particularly in the area of defect detection in low-resolution images. His innovative work has led to the development of a patented system that enhances image analysis and defect identification.

Latest Patents

Brad Ries holds a patent for "Training a neural network for defect detection in low resolution images." This patent describes methods and systems for training a neural network to detect defects in images that are not of high resolution. The system includes an inspection tool with both high and low-resolution imaging subsystems, as well as components that utilize high and low-resolution neural networks. The computer subsystems are designed to generate a training set of defect images, including synthetic images created by the high-resolution neural network. This technology allows for effective defect detection on various specimens using the trained low-resolution neural network.

Career Highlights

Brad Ries is currently employed at KLA-Tencor Corporation, where he applies his expertise in neural networks and image processing. His work at the company has positioned him as a key player in advancing technologies that improve defect detection processes in various industries.

Collaborations

Brad has collaborated with notable colleagues such as Kris Bhaskar and Laurent Karsenti. These partnerships have fostered an environment of innovation and have contributed to the success of their projects.

Conclusion

Brad Ries is a pioneering inventor whose work in neural networks has the potential to revolutionize defect detection in low-resolution images. His contributions to KLA-Tencor Corporation and the field of image analysis underscore the importance of innovation in technology.