Shenling Wang

Title: Shenling Wang: Innovator in Neural Network Optimization

Introduction

Shenling Wang is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of artificial intelligence, particularly in optimizing neural network structures. His innovative approach has the potential to enhance the efficiency and performance of neural networks in various applications.

Latest Patents

Shenling Wang holds a patent for a "Method and system for optimizing convolutional residual structure of neural network, device, and medium." This patent describes a method that involves obtaining picture data and convolution kernel data from a global memory, performing convolutions, and optimizing the structure of neural networks to achieve improved results. The process includes dividing images into regions, allocating memory blocks, and performing linear rectification to obtain final outputs. This innovative method showcases his expertise in the field of neural networks.

Career Highlights

Shenling Wang is currently associated with Inspur Suzhou Intelligent Technology Co., Ltd. His work at this company focuses on advancing technologies related to artificial intelligence and machine learning. His contributions have been instrumental in developing solutions that leverage neural networks for various applications.

Collaborations

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Conclusion

Shenling Wang is a notable inventor whose work in optimizing neural networks has the potential to drive advancements in artificial intelligence. His innovative methods and dedication to research continue to influence the field significantly.