Gyeonggi-Do, South Korea

Kiwan Kim

This inventor holds 1 USPTO granted patent. Top assignee: Aivex Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kiwan Kim. Retrieved from https://idiyas.com/inventor/kiwan-kim-q53h8mli

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Kiwan Kim: Artificial Intelligence and Distributed Computing

Introduction

Kiwan Kim is an inventor based in Gyeonggi-Do, South Korea. His patent work addresses the training of artificial neural network models across local and cloud computing resources.

Latest Patents

The available information lists one patent associated with Kim: “Method and User Interface for Training Artificial Neural Network Models in Environment Including Multiple Computing Nodes.” The invention describes a computing device that identifies local and cloud-based computing nodes, receives information about a model-training task based on user input, and dynamically assigns the task to one or both nodes. The approach combines a user’s local computing resources with cloud resources to support model training.

Career Highlights

Kim is associated with Aivex Co., Ltd. His listed patent reflects work at the intersection of artificial intelligence, user interfaces, and distributed computing. The record attributes 1 patent to him.

Collaborations

Jaesung Kim is identified as Kim’s coworker. The available information does not specify whether they collaborated on the listed patent.

Conclusion

Kiwan Kim’s listed invention focuses on flexibly distributing artificial neural network training tasks between local and cloud computing nodes.

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]
Loading…