Nanjing, China

Kaiwen Kong

This inventor holds 1 USPTO granted patent. Top assignee: Nanjing Horizon Robotics Integrated Circuit Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaiwen Kong. Retrieved from https://idiyas.com/inventor/kaiwen-kong

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Kaiwen Kong in Neural Network Acceleration

Introduction

Kaiwen Kong is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of artificial intelligence, particularly in the acceleration of neural network models. His innovative work has led to the development of a patented method that enhances the efficiency of neural network inference.

Latest Patents

Kong holds a patent titled "Method and apparatus for accelerating inference of neural network model, electronic device, and medium." This patent outlines a comprehensive method that includes acquiring various types of training data, determining a neural network model for acceleration, and performing quantization aware training. The process ultimately results in a target neural network model that is optimized for performance.

Career Highlights

Kong is currently employed at Nanjing Horizon Robotics Integrated Circuit Co., Ltd. His work at this company focuses on advancing technologies that improve the functionality of electronic devices through enhanced neural network models. His expertise in this area has positioned him as a key player in the field of AI research and development.

Collaborations

Kong collaborates with talented individuals such as Yushu Gao and Shuqian Qu. Together, they work on innovative projects that push the boundaries of technology and artificial intelligence.

Conclusion

Kaiwen Kong's contributions to neural network acceleration exemplify the impact of innovation in technology. His patented methods and collaborative efforts continue to shape the future of artificial intelligence.

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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