Daejeon, South Korea

Ye Bin Moon

This inventor holds 1 USPTO granted patent. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ye Bin Moon. Retrieved from https://idiyas.com/inventor/ye-bin-moon-m1fdnu4o

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ye Bin Moon - Innovator in Artificial Intelligence Training

Introduction

Ye Bin Moon is a prominent inventor based in Daejeon, South Korea. She has made significant contributions to the field of artificial intelligence, particularly in the area of training methodologies. Her innovative approach focuses on utilizing episodic memory to enhance the performance of AI models.

Latest Patents

Ye Bin Moon holds a patent for a "Method and apparatus for training artificial intelligence based on episode memory." This patent outlines a method that constructs an episodic memory using feature vectors from a training dataset. The process involves obtaining output data from an AI model, deriving similarities between this output and the constructed episodic memory, and formulating an episode loss function based on these similarities. This innovative approach aims to improve the efficiency and effectiveness of AI training.

Career Highlights

Ye Bin Moon is affiliated with the Electronics and Telecommunications Research Institute, where she continues to advance her research in artificial intelligence. Her work has garnered attention for its potential applications in various sectors, including technology and telecommunications.

Collaborations

Ye Bin Moon collaborates with her coworker, Tae Hyun Oh, who is also involved in research related to artificial intelligence. Their partnership enhances the development of innovative solutions in the field.

Conclusion

Ye Bin Moon's contributions to artificial intelligence training through her patented methods demonstrate her commitment to advancing technology. Her work is paving the way for more efficient AI systems that can learn and adapt more effectively.

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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