Seoul, South Korea

Dongwoo Lew

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Korea University Research and Business Foundation. Active years: 2026.

USPTO Granted Patents = 1 

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: The Innovations of Dongwoo Lew

Introduction

Dongwoo Lew is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of neural networks, particularly in the area of supervised training methods. His work is recognized for its potential to enhance the efficiency of spiking neural networks.

Latest Patents

Dongwoo Lew holds a patent for a "Supervised training accelerator for temporal coding-based spiking neural network and operation method thereof." This patent discloses a method for accelerating the supervised training of a spiking neural network. The method involves measuring first and second membrane potentials for each time step during the training process. It also includes extracting distribution data of these potentials, calculating a threshold value for subsequent training, and classifying images that do not contribute to training based on this threshold. The training can be terminated at a specific time step if it is determined that an image lacks training contribution.

Career Highlights

Dongwoo Lew is affiliated with the Korea University Research and Business Foundation, where he continues to advance his research in neural networks. His innovative approach to supervised training has garnered attention in the academic and research communities.

Collaborations

He has collaborated with notable colleagues, including Jongsun Park and Sung Hyun Choi, to further explore advancements in neural network technologies.

Conclusion

Dongwoo Lew's contributions to the field of neural networks exemplify the innovative spirit of modern inventors. His work not only enhances the understanding of spiking neural networks but also paves the way for future advancements in artificial intelligence.

Profile summary based on public USPTO records.
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