Seoul, South Korea

Jae Moo Hur


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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

Title: Jae Moo Hur - Innovator in Anomaly Detection Technology

Introduction

Jae Moo Hur is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of anomaly detection. His innovative approach utilizes grouped artificial intelligence models to enhance the accuracy and efficiency of detecting anomalies in various monitoring systems.

Latest Patents

Jae Moo Hur holds a patent for a "Method and system for detecting anomaly by using grouped artificial intelligence models trained to detect an anomaly in a detection target." This patent outlines a method that involves obtaining multiple models trained for different monitoring items. The process includes forming model groups based on common identification fields and detecting anomalies based on the results from these groups. This innovative method aims to improve the reliability of anomaly detection in various applications.

Career Highlights

Jae Moo Hur is currently employed at Samsung SDS Co., Ltd., where he continues to develop cutting-edge technologies in artificial intelligence. His work focuses on enhancing systems that require precise anomaly detection, which is crucial for industries that rely on real-time monitoring and data analysis.

Collaborations

Jae Moo Hur collaborates with Dae Kyung Kim, a fellow innovator in the field. Together, they work on advancing technologies that leverage artificial intelligence for improved detection systems.

Conclusion

Jae Moo Hur's contributions to anomaly detection technology exemplify the innovative spirit of modern inventors. His work at Samsung SDS Co., Ltd. and his patented methods are paving the way for more effective monitoring systems across various industries.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…