Rowan Cheung

Title: Innovations by Rowan Cheung

Introduction

Rowan Cheung is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the reliability and accuracy of machine learning models.

Latest Patents

Rowan Cheung holds a patent for "Systems and methods for detecting drift between data used to train a machine learning model and data used to execute the machine learning model." This patent outlines a method where a first plurality of representations is extracted from a first data set. A first set of distributions is generated based on these representations. The machine learning model is then trained using this data. Subsequently, a second plurality of representations is extracted from a different data set. The model is executed based on this second data to produce a second set of distributions. An anomaly score is determined for each datum from the second data set, leading to the generation of a notification when an anomaly score exceeds a predetermined threshold. This innovative approach enhances the detection of data drift, which is crucial for maintaining the performance of machine learning systems.

Career Highlights

Rowan Cheung is currently employed at Arthur Ai, Inc., where he applies his expertise in machine learning and data analysis. His work at the company has positioned him as a key player in developing advanced AI solutions.

Collaborations

Rowan collaborates with talented individuals such as Keegan Hines and John Dickerson. Their combined efforts contribute to the innovative projects at Arthur Ai, Inc.

Conclusion

Rowan Cheung's contributions to machine learning through his patent demonstrate his commitment to advancing technology. His work not only enhances the functionality of machine learning models but also sets a foundation for future innovations in the field.