Jiangsu, China

Min Chu


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Min Chu - Innovator in Dialogue Systems

Introduction

Min Chu is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of dialogue systems, particularly in the area of knowledge sharing among these systems. His innovative approach aims to enhance the interaction capabilities of dialogue robots, making them more efficient and user-friendly.

Latest Patents

Min Chu holds a patent for a "Method of knowledge sharing among dialogue systems, dialogue method and device." This patent discloses a method that allows a first dialogue system to receive a knowledge sharing request from an external dialogue system. The request includes feature information of a knowledge point to be shared. The method involves parsing the request to determine the feature information and adding it to the knowledge base of the first dialogue system, thereby forming a shared knowledge base. This innovation facilitates knowledge sharing among different dialogue systems, addressing cross-domain dialogue needs while minimizing costs.

Career Highlights

Min Chu is currently employed at Ai Speech Co., Ltd., where he continues to develop and refine technologies related to dialogue systems. His work focuses on improving the efficiency and effectiveness of communication between dialogue systems, which is crucial for advancing artificial intelligence applications in various domains.

Collaborations

Min Chu collaborates with talented individuals such as Fujiang Ge and Taotao Guo. Their combined expertise contributes to the innovative projects at Ai Speech Co., Ltd., fostering a collaborative environment that encourages creativity and technological advancement.

Conclusion

Min Chu's contributions to the field of dialogue systems exemplify the importance of innovation in enhancing communication technologies. His patent on knowledge sharing among dialogue systems represents a significant step forward in making dialogue robots more capable and efficient.

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