Seoul, South Korea

Gin A Sohn

This inventor holds 1 USPTO granted patent. Top assignee: Seoul National University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gin A Sohn. Retrieved from https://idiyas.com/inventor/gin-a-sohn

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Gin A Sohn

Introduction

Gin A Sohn is an accomplished inventor based in Seoul, South Korea. He has made significant contributions to the field of deep learning and neural networks. His innovative work focuses on enhancing the efficiency of training deep neural network models.

Latest Patents

Gin A Sohn holds a patent for an "Accelerator system for training deep neural network model using NAND flash memory and operating method thereof." This DNN accelerator system comprises multiple accelerator nodes, each equipped with several NAND flash memories. The system includes a flash memory system (FMS) controller that manages these memories and a tensor buffer. Additionally, a processor is designed to generate an operation sequence for the accelerator nodes, enabling the training of a DNN model in a data-parallel manner.

Career Highlights

Gin A Sohn is affiliated with Seoul National University, where he contributes to research and development in advanced computing technologies. His work is pivotal in the ongoing evolution of artificial intelligence and machine learning.

Collaborations

Gin A Sohn collaborates with Yunho Jin, who is also involved in research related to deep learning technologies.

Conclusion

Gin A Sohn's innovative contributions to the field of deep neural networks exemplify the potential of technology to advance artificial intelligence. His work continues to influence the development of efficient training systems for complex models.

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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