Sunnyvale, CA, United States of America

Jun Shi


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jun Shi - Innovator in Distributed Deep Machine Learning

Introduction

Jun Shi is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of machine learning. He has developed innovative methods that enhance the efficiency of distributed deep machine learning systems. His work is particularly relevant in today's data-driven world, where machine learning plays a crucial role in various applications.

Latest Patents

Jun Shi holds a patent for a "Method and system for distributed deep machine learning." This patent outlines a process for estimating parameters associated with a machine learning model on a cluster of nodes. The method involves receiving a request for parameter estimation, obtaining a set of data, and dividing it into sub-sets corresponding to each node. Each node then estimates the parameters based on its allocated sub-set, and the results are aggregated to provide a comprehensive estimation of the model's parameters. This innovative approach significantly improves the efficiency and scalability of machine learning processes.

Career Highlights

Jun Shi is currently employed at Verizon Patent and Licensing Inc., where he continues to push the boundaries of technology through his research and development efforts. His work has not only contributed to the advancement of machine learning but has also positioned him as a key player in the tech industry.

Collaborations

Throughout his career, Jun Shi has collaborated with talented individuals such as Andrew Feng and Mridul Jain. These collaborations have fostered an environment of innovation and creativity, leading to significant advancements in their respective fields.

Conclusion

Jun Shi's contributions to distributed deep machine learning exemplify the impact of innovative thinking in technology. His patent and ongoing work at Verizon Patent and Licensing Inc. highlight his commitment to advancing machine learning methodologies. As the field continues to evolve, Jun Shi remains a vital figure in shaping its future.

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