Hsinchu, Taiwan

Chi-Ta Wu


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Chi-Ta Wu: Innovator in Neural Network Computing

Introduction

Chi-Ta Wu is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of neural network computing, showcasing his expertise through innovative patents. His work focuses on enhancing the efficiency and performance of neural network operations.

Latest Patents

Chi-Ta Wu holds a patent for a "Neural network engine with tile-based execution." This invention is an accelerator designed for neural network computing, which includes specialized hardware engines and buffer memory. The hardware engines consist of a convolution engine and at least one additional engine. Each hardware engine is equipped with circuitry to perform essential neural network operations. The buffer memory is designed to store two overlapping input tiles of an input feature map, facilitating efficient processing. The convolution engine retrieves the first input tile from the buffer memory, performs convolution operations, and generates an intermediate tile, which is then passed to the second engine via the buffer memory.

Career Highlights

Chi-Ta Wu is currently employed at MediaTek Corporation, a leading technology company known for its innovations in semiconductor solutions. His role at MediaTek allows him to apply his expertise in neural networks and contribute to the development of advanced computing technologies.

Collaborations

Chi-Ta Wu collaborates with talented colleagues, including Yu-Ting Kuo and Chien-Hung Lin. Their combined efforts in research and development have led to significant advancements in the field of neural network computing.

Conclusion

Chi-Ta Wu's contributions to neural network technology exemplify his innovative spirit and dedication to advancing computing capabilities. His patent and work at MediaTek Corporation highlight his role as a key player in the evolution of neural network engines.

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