Seoul, South Korea

Ahn Jae Shin

This inventor holds 1 USPTO granted patent. Top assignees: Samsung Electronics Co., Ltd., Seoul National University. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ahn Jae Shin: Innovator in Fault Recovery Systems

Introduction

Ahn Jae Shin is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of technology, particularly in the area of fault recovery systems. His innovative approach has led to the development of a patent that addresses critical issues in distributed training systems.

Latest Patents

Ahn Jae Shin holds a patent for a "System, apparatus and method with fault recovery." This invention includes a plurality of worker nodes configured to perform distributed training, along with a master node that controls these worker nodes. The master node is designed to detect faults in the worker nodes based on a predetermined period. It can adjust the collective communication participant list in response to any detected faults and transmit the adjusted list to the relevant worker nodes. This patent showcases Ahn's commitment to enhancing the reliability and efficiency of distributed systems. He has 1 patent to his name.

Career Highlights

Throughout his career, Ahn Jae Shin has worked with prominent organizations, including Samsung Electronics and Seoul National University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking projects in technology.

Collaborations

Ahn has collaborated with talented individuals such as Yongdeok Kim and Kyung Geun Lee. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Ahn Jae Shin is a distinguished inventor whose work in fault recovery systems has made a significant impact in the field of technology. His innovative solutions continue to pave the way for advancements in distributed training systems.

Profile summary based on public USPTO records.
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