Yao Ting Wang

Title: Yao Ting Wang: Innovator in Neural Network Computing

Introduction

Yao Ting Wang is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of computer architecture, particularly in the area of neural network computing. His innovative work has led to the development of a unique patent that enhances data processing capabilities.

Latest Patents

Wang holds a patent for a "Computer architecture with data decompression support for neural network computing." This invention involves a processor that decompresses a compressed data vector into its original form. The processor is equipped with an execution circuit that receives a decompress instruction, which includes two input operands and an output operand. The input operands specify the address of the compressed data vector in memory, while the output operand indicates the vector register for storing the decompressed data vector. The execution circuit performs several operations, including reading a mask value from the mask register, generating a selection signal based on the mask value, and applying this signal to a selection switch to produce the original data vector.

Career Highlights

Yao Ting Wang is currently employed at MediaTek Corporation, a leading global semiconductor company. His work at MediaTek focuses on advancing technologies that support neural network applications. Wang's expertise in computer architecture has positioned him as a key player in the development of innovative solutions in the tech industry.

Collaborations

Wang collaborates with talented colleagues, including Chih-Chun Liu and Liang-Yu Chen. Together, they work on projects that push the boundaries of technology and enhance the capabilities of neural network computing.

Conclusion

Yao Ting Wang's contributions to computer architecture and neural network computing exemplify the spirit of innovation. His patent and work at MediaTek Corporation highlight his commitment to advancing technology in meaningful ways.