Tien-Fu Chen

Title: Tien-Fu Chen: Innovator in Neural Network Technologies

Introduction

Tien-Fu Chen is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of neural networks and data processing, holding a total of five patents. His innovative work focuses on enhancing the efficiency and effectiveness of neural network models.

Latest Patents

One of Tien-Fu Chen's latest patents is a "Separate quantization method of forming a combination of 4-bit and 8-bit data of neural network." This invention discloses a method for determining a threshold for activations in a neural network model, allowing for a combination of 4-bit and 8-bit quantization. This approach aims to reduce the size of the neural network model while maintaining its performance.

Another notable patent is the "Tag memory and cache system with automating tag comparison mechanism and cache method thereof." This invention provides a cache system that includes a memory cell array and a tag comparison circuit. The system performs parallel comparisons between target tags and row tags, enhancing the efficiency of data retrieval in cache memory.

Career Highlights

Tien-Fu Chen has worked at esteemed institutions such as National Yang Ming Chiao Tung University and Tsinghua University. His experience in these academic environments has allowed him to collaborate with leading researchers and contribute to cutting-edge innovations in technology.

Collaborations

Some of Tien-Fu Chen's notable coworkers include Ching-Fa Yeh and Jen-Chung Lou. Their collaborative efforts have further advanced the research and development of neural network technologies.

Conclusion

Tien-Fu Chen's contributions to the field of neural networks and data processing are noteworthy. His innovative patents reflect a commitment to enhancing technology and improving efficiency in data handling. His work continues to influence the landscape of neural network applications.