Clayton Davis

Title: Innovations by Clayton Davis

Introduction

Clayton Davis is an accomplished inventor based in Collierville, TN (US). He has made significant contributions to the field of machine learning through his innovative patents. With a total of two patents to his name, Davis is recognized for his expertise in embedding data into machine learning models and detecting data drift.

Latest Patents

Davis's latest patents include a "System and method for watermarking a machine learning model." This invention focuses on embedding data into a machine learning model by executing program code that modifies parameter values. The process involves encrypting a message and converting it into a binary representation, which is then embedded into the model's parameters.

Another notable patent is the "System and method for data drift detection." This invention outlines methods to extract and transform features from training and test datasets within a machine learning model. It calculates distance sets between feature maps and class-conditional distributions, ultimately computing a drift test statistic to measure the drift between datasets.

Career Highlights

Clayton Davis is currently employed at Booz Allen Hamilton Inc., where he applies his innovative skills to advance machine learning technologies. His work has positioned him as a key player in the development of systems that enhance the reliability and security of machine learning applications.

Collaborations

Davis collaborates with talented individuals such as Arash Rahnama-Moghaddam and Vincent Joseph Glorioso. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in their field.

Conclusion

Clayton Davis exemplifies the spirit of innovation in the realm of machine learning. His patents not only showcase his technical skills but also contribute to the ongoing evolution of technology in this area.