Daejeon, South Korea

Bumsoo Kang

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bumsoo Kang. Retrieved from https://idiyas.com/inventor/bumsoo-kang-bvr3p5xm

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Bumsoo Kang

Introduction

Bumsoo Kang is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of transfer learning. His innovative approach combines pretrained models with augmented configurations to enhance performance across different domains.

Latest Patents

Bumsoo Kang holds a patent for "Transfer learning with augmented neural networks." This invention involves selecting a pretrained model to operate in an augmented model configuration alongside a submodel. The submodel is trained using data from a second domain, while the pretrained model is designed for a first domain. The augmentation process combines feature maps from both models to create a combined feature map, which is then utilized in the submodel.

Career Highlights

Bumsoo Kang is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in the field of machine learning and artificial intelligence. His work has garnered attention for its potential applications in various industries.

Collaborations

He collaborates with talented colleagues, including Chungkuk Yoo and Minsik Cho, who contribute to his research and development efforts. Their teamwork enhances the innovative capabilities of their projects.

Conclusion

Bumsoo Kang's contributions to transfer learning and augmented neural networks exemplify the impact of innovative thinking in technology. His work at IBM and collaborations with fellow researchers highlight the importance of teamwork in advancing the field of artificial intelligence.

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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