Woodinville, WA, United States of America

Eric Sen Chung

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2023

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2 patents (USPTO):

Title: The Innovations of Eric Sen Chung

Introduction

Eric Sen Chung is a notable inventor based in Woodinville, WA (US). He has made significant contributions to the field of neural networks, particularly in optimizing memory consumption and processor utilization. With a total of two patents to his name, his work is recognized for its innovative approach to training neural networks.

Latest Patents

Eric's latest patents include "Neural network training with decreased memory consumption and processor utilization" and "Training neural networks using mixed precision computations." The first patent focuses on bounding box quantization, which reduces the number of bits used to express numerical values before matrix multiplication. This innovation leads to decreased memory consumption and processor utilization. Additionally, stochastic rounding is employed to maintain precision while allowing weight values to be stored in reduced-precision formats. The second patent describes a system for training neural networks that utilizes lower precision format calculations during certain training phases, converting results to higher precision for further calculations. This mixed precision approach enhances training efficiency while preserving overall accuracy.

Career Highlights

Eric is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies in the realm of artificial intelligence and machine learning. His work has garnered attention for its practical applications and potential to revolutionize how neural networks are trained.

Collaborations

Eric has collaborated with talented individuals such as Daniel Lo and Bita Darvish Rouhani. Their combined expertise contributes to the innovative projects they undertake at Microsoft.

Conclusion

Eric Sen Chung's contributions to neural network technology exemplify the spirit of innovation in the tech industry. His patents reflect a commitment to enhancing efficiency and accuracy in machine learning, making a lasting impact on the field.

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