Hsinchu, Taiwan

Xin Si

This inventor holds 3 USPTO granted patents. Top assignee: National Tsing Hua University. Active years: 2019-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Si. Retrieved from https://idiyas.com/inventor/xin-si

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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3 patents (USPTO):Explore Patents

Title: Innovations of Inventor Xin Si

Introduction

Xin Si is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of computing-in-memory applications. With a total of 3 patents, his work focuses on enhancing memory unit structures and methods for advanced neural network applications.

Latest Patents

Xin Si's latest patents include innovative designs and methods for memory units tailored for multi-bit convolutional neural network applications. One of his patents describes a memory unit controlled by a first word line and a second word line, which includes a memory cell that stores a weight and a transpose cell that processes multi-bit input values. Another patent focuses on a memory cell for computing-in-memory applications, which utilizes read-decoupled cells to optimize weight storage and signal generation.

Career Highlights

Xin Si is affiliated with National Tsing Hua University, where he continues to advance research in memory technologies. His work has garnered attention for its potential applications in artificial intelligence and machine learning.

Collaborations

Some of his notable coworkers include Meng-Fan Chang and Yung-Ning Tu, who contribute to the collaborative research environment at National Tsing Hua University.

Conclusion

Xin Si's innovative patents and research efforts position him as a key figure in the development of memory technologies for neural networks. His contributions are paving the way for future advancements in computing applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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