Malibu, CA, United States of America

David Williams


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations of David Williams in Content Identification

Introduction

David Williams is an accomplished inventor based in Malibu, CA. He has made significant contributions to the field of content identification through his innovative patent. His work focuses on developing systems and methods to identify and characterize content within electronic files, particularly in determining inappropriate content within images.

Latest Patents

David holds a patent for a "System and method for identifying and characterizing content within electronic files using example sets." This patent describes a sophisticated approach that utilizes a plurality of training images to teach a machine how to discern inappropriate content. The training images are converted into numerical data and stored in a BigMatrix, which is then used to create a RandomForest. This RandomForest discerns patterns among the training images and human-judged labels. When an image is analyzed, it is converted into numerical data and processed through the RandomForest to determine if it contains inappropriate content.

Career Highlights

David Williams is currently employed at The Rubicon Project, Inc., where he continues to innovate in the field of content identification. His work has been instrumental in enhancing the capabilities of machine learning algorithms in identifying inappropriate content in images. His dedication to advancing technology in this area has made a significant impact on the industry.

Collaborations

David collaborates with talented individuals, including his coworker Duc Chau, to further develop and refine his innovative systems. Their combined expertise contributes to the success of their projects and the advancement of technology in content identification.

Conclusion

David Williams is a notable inventor whose work in content identification has paved the way for advancements in machine learning and image analysis. His innovative patent demonstrates his commitment to improving technology and ensuring safer digital environments.

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