Beijing, China

Chun Qi Ji

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chun Qi Ji. Retrieved from https://idiyas.com/inventor/chun-qi-ji

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Chun Qi Ji

Introduction

Chun Qi Ji is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of predictive analytics using neural networks. His work is recognized for its innovative approach to error detection in computer systems.

Latest Patents

Chun Qi Ji holds a patent for "Predicting a root cause of an alert using a recurrent neural network." This invention focuses on detecting an error alert from a target computer system. Upon detecting the error alert, performance data is retrieved from the system. A gated recurrent unit (GRU) neural network is then employed to predict the root cause of the error based on the performance data. The weights of the reset gate of the GRU neural network are adjusted based on feedback received regarding the prediction. This innovative approach enhances the accuracy of error detection and resolution.

Career Highlights

Chun Qi Ji is currently associated with International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.

Collaborations

Chun Qi Ji collaborates with talented individuals such as Qiang Li and Jing Sun, who is a woman. These collaborations foster a creative environment that encourages innovation and the development of new ideas.

Conclusion

Chun Qi Ji's work exemplifies the spirit of innovation in technology. His contributions, particularly in predictive analytics, are paving the way for more efficient error detection systems. His achievements reflect the importance of collaboration and creativity in driving technological advancements.

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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