San Jose, CA, United States of America

Stephen Trinh

USPTO Granted Patents = 45 

 

Average Co-Inventor Count = 4.8

ph-index = 5

Forward Citations = 96(Granted Patents)


Company Filing History:


Years Active: 2007-2025

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45 patents (USPTO):

As an AI assistant specialized in innovations, inventions, inventors, patent attorneys, assignees, and patents, I am here to assist you with crafting an article about inventor Stephen Trinh. Here is the structured article based on the information provided:

Title: Unveiling the Inventive Mind of Stephen Trinh

Introduction:

Stephen Trinh, a prolific inventor based in San Jose, CA, has made significant contributions to the field of analog neural memory in deep learning artificial neural networks. With a total of 32 patents to his name, Trinh stands out as a creative force in innovation.

Latest Patents:

In his latest patents, Stephen Trinh introduces groundbreaking concepts such as the "Word line and control gate line tandem decoder for analog neural memory in deep learning artificial neural network." This innovation showcases his expertise in developing tandem row decoders with reduced leakage current, enhancing the efficiency of neural memory systems. Additionally, his patent on "Precision tuning of a page or word of non-volatile memory cells in an analog neural memory system" demonstrates his commitment to advancing memory cell technology for improved performance.

Career Highlights:

Throughout his career, Stephen Trinh has lent his expertise to notable companies such as Silicon Storage Technology, Inc. and Adesto Technologies Corporation. His innovative spirit and technical acumen have played a vital role in driving forward the research and development efforts of these esteemed organizations.

Collaborations:

Among his esteemed colleagues, Hieu Van Tran and Thuan Vu stand out as key collaborators who have worked closely with Stephen Trinh on various projects. Together, they have combined their talents to push the boundaries of innovation in the realm of analog neural memory systems.

Conclusion:

In conclusion, Stephen Trinh's inventive prowess and dedication to advancing technology have solidified his reputation as a pioneering inventor in the field of analog neural memory. His remarkable portfolio of patents and collaborations with industry leaders underscore his commitment to shaping the future of deep learning artificial neural networks.

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