Xiao Tian Xu

Title: Innovations of Inventor Xiao Tian Xu

Introduction

Xiao Tian Xu is a notable inventor based in Changde, China. He has made significant contributions to the field of technology, particularly in the areas of self-bias detection and weight matrix prediction. With a total of 4 patents to his name, his work continues to influence advancements in computing systems.

Latest Patents

Xiao Tian Xu's latest patents include "Optimized bias self-detection based on performance and importance." This invention provides systems and methods for implementing self-bias detection, utilizing a K-means clustering algorithm to enhance performance and reduce calculation time. Another significant patent is "Weight matrix prediction," which involves a computer-implemented method for evaluating candidate weight matrices in neural networks. This method allows for efficient testing iterations and the determination of applicable testing loss values.

Career Highlights

Xiao Tian Xu is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in innovative technologies. His work at IBM has positioned him as a key player in the development of advanced computing solutions.

Collaborations

Xiao Tian Xu collaborates with talented individuals such as Ze Ming Zhao and Zhiwen Fu, contributing to a dynamic and innovative work environment.

Conclusion

Xiao Tian Xu's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in the field. His innovative approaches continue to pave the way for advancements in computing systems.