Seoul, South Korea

Bogil Kim

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Yonsei University. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bogil Kim. Retrieved from https://idiyas.com/inventor/bogil-kim

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovations of Bogil Kim

Introduction

Bogil Kim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of data processing through his innovative work on deep neural networks. His expertise and dedication to advancing technology have led to the development of a unique patent that optimizes data processing methods.

Latest Patents

Bogil Kim holds a patent for a "Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator." This patent provides a control method for a deep neural network (DNN) accelerator aimed at enhancing data processing efficiency. The method involves calculating offsets for data tiles, identifying data types, and updating neural network data between memory levels, thereby streamlining the processing of neural network data.

Career Highlights

Currently, Bogil Kim is affiliated with Yonsei University, where he continues to engage in research and development in the field of neural networks. His work is characterized by a commitment to innovation and excellence, contributing to the academic and technological landscape.

Collaborations

He collaborates with notable colleagues, including William Jinho Song and Chanho Park, who share his passion for advancing technology and research in neural networks.

Conclusion

Bogil Kim's contributions to the field of deep neural networks exemplify the spirit of innovation and dedication to improving data processing methods. His work not only enhances technological capabilities but also inspires future advancements in the field.

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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