Daejeon, South Korea

Jong Yun Choi

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Ant Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jong Yun Choi. Retrieved from https://idiyas.com/inventor/jong-yun-choi-kfri8smr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jong Yun Choi: Innovator in Artificial Intelligence Research

Introduction

Jong Yun Choi is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of artificial intelligence through his innovative patent. His work focuses on enhancing the efficiency of research data generation for AI model training.

Latest Patents

Jong Yun Choi holds a patent titled "Method, apparatus, and computer program for automatically generating standardized research record data for training artificial intelligence model." This invention provides a method, apparatus, and computer program designed to automatically generate standardized research record data. The process involves acquiring research record information regarding an experiment, processing this information based on prestored data, and ultimately generating standardized research record data. He has 1 patent to his name.

Career Highlights

Choi is associated with Ant Corporation, where he applies his expertise in artificial intelligence and research data management. His innovative approach has positioned him as a key figure in the development of AI technologies.

Collaborations

Some of his notable coworkers include Sukjoo Hong and Sangyoon Lee, who contribute to the collaborative efforts in advancing research and development within their field.

Conclusion

Jong Yun Choi's contributions to artificial intelligence through his patented methods demonstrate his commitment to innovation and research excellence. His work continues to influence the landscape of AI model training and data generation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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