Hsinchu, Taiwan

Jian-Wei Su


Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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11 patents (USPTO):

Title: Innovations of Inventor Jian-Wei Su

Introduction

Jian-Wei Su is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of memory technology and neural network computation. With a total of 11 patents to his name, Su's work has had a considerable impact on modern computing.

Latest Patents

One of his latest patents is a memory cell that includes a first transistor coupled to a bit line and a second transistor coupled to a bit line bar. This memory cell features a weight storage circuit that determines whether to turn on the first or second transistor based on a stored weight value. Additionally, a driving circuit is included to generate an operation current based on threshold voltage and input data. Another notable patent is an apparatus and method for neural network computation. This apparatus consists of a first neuron circuit and a second neuron circuit, designed to execute neural network computations with both fixed and unfixed feature patterns. The performance of the first neuron circuit surpasses that of the second, showcasing Su's innovative approach to neural network technology.

Career Highlights

Throughout his career, Jian-Wei Su has worked with esteemed institutions such as the Industrial Technology Research Institute and Tsinghua University. His experience in these organizations has allowed him to collaborate on groundbreaking research and development projects.

Collaborations

Some of his notable coworkers include Chih-Sheng Lin and Fu-Cheng Tsai. Their collaborative efforts have contributed to the advancement of technology in their respective fields.

Conclusion

Jian-Wei Su's contributions to memory technology and neural network computation highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving computational efficiency.

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