Chao-Hung Chen

Title: Innovations of Chao-Hung Chen in Neural Network Data Processing

Introduction

Chao-Hung Chen is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of neural network computing. His innovative approach focuses on enhancing data processing methods, particularly in the context of bit-number reduction.

Latest Patents

Chao-Hung Chen holds a patent for a "Data processing method and device for bit-number reduction in a neural network by establishing bit upper bound and bit lower bound using distribution information." This patent outlines a data processing method used in neural network computing. During the training phase of a neural network model, a feedforward procedure based on calibration data is performed to obtain distribution information of a feedforward result for at least one layer of the neural network model. A bit upper bound of a partial sum is generated based on this distribution information. During the inference phase, a bit-number reducing process is applied to the original operation result of input data and weights for the neural network model, utilizing the bit upper bound to achieve an adjusted operation result. Chao-Hung Chen has 1 patent to his name.

Career Highlights

Chao-Hung Chen is affiliated with the Industrial Technology Research Institute, where he continues to develop innovative solutions in technology. His work is pivotal in advancing the capabilities of neural networks, making them more efficient and effective.

Collaborations

Chao-Hung Chen has collaborated with notable colleagues, including Ming-Chun Hsyu and Chien-Chih Huang. Their combined expertise contributes to the success of their projects and innovations.

Conclusion

Chao-Hung Chen's contributions to neural network data processing exemplify the importance of innovation in technology. His patent reflects a significant advancement in the field, showcasing his dedication to improving computational methods.