Yushu Gao

Title: Yushu Gao: Innovator in Neural Network Technology

Introduction

Yushu Gao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in neural network technology. His innovative work has led to the development of a unique patent that enhances the efficiency of neural networks.

Latest Patents

Yushu Gao holds a patent for a "Neural network training method, neural network training apparatus and electronic device." This patent discloses a method that includes training a first neural network using sample data. It involves determining an indicator parameter of the first neural network during the training process. If the indicator parameter meets a preset condition, an update manner corresponding to that condition is determined. The method updates a parameter of a batch normalization layer in the first neural network based on this update manner. This innovation allows for the sparsing of a feature map output by the neural network, thereby reducing the amount of data transmitted and improving the computation speed of a chip. Yushu Gao has 1 patent to his name.

Career Highlights

Yushu Gao is currently employed at Beijing Horizon Robotics Technology Research and Development Co., Ltd. His role at the company allows him to work on cutting-edge technologies that push the boundaries of artificial intelligence and machine learning.

Collaborations

Yushu Gao collaborates with talented individuals in his field, including coworkers Zhichao Li and Yifeng Geng. Their combined expertise contributes to the advancement of innovative solutions in neural network training.

Conclusion

Yushu Gao's contributions to neural network technology exemplify the spirit of innovation in the field of artificial intelligence. His patent reflects a significant advancement that enhances computational efficiency and data transmission.