Wuguannan Yao

Title: Wuguannan Yao: Innovator in Artificial Neural Networks

Introduction

Wuguannan Yao is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of artificial intelligence, particularly in the configuration and deployment of artificial neural networks. His innovative work has led to the development of a patented method that enhances the efficiency and adaptability of neural networks.

Latest Patents

Wuguannan Yao holds a patent for an "Artificial neural network configuration and deployment." This invention describes a computer-implemented method and system for configuring and implementing an artificial neural network. The method includes initializing the network and training it based on a training operation to form an adaptively deployable artificial neural network. This network defines a plurality of nested artificial neural sub-networks, each optimized for a specific resource configuration. The implementation method involves determining the optimal configuration for deployment at an electrical device and deploying the network accordingly.

Career Highlights

Wuguannan Yao is affiliated with the City University of Hong Kong, where he contributes to research and development in artificial intelligence. His work has garnered attention for its practical applications in various technological fields. He has been instrumental in advancing the understanding and capabilities of artificial neural networks.

Collaborations

Wuguannan Yao has collaborated with notable colleagues, including Tei-Wei Kuo and Antoni Bert Chan. These collaborations have further enriched his research and have led to advancements in the field of artificial intelligence.

Conclusion

Wuguannan Yao's innovative contributions to artificial neural networks exemplify the impact of research and development in technology. His patented methods are paving the way for more efficient and adaptable AI systems.