San Jose, CA, United States of America

Stanley Hong

USPTO Granted Patents = 52 

 

Average Co-Inventor Count = 6.2

ph-index = 4

Forward Citations = 61(Granted Patents)

Forward Citations (Not Self Cited) = 47(Oct 12, 2025)


Company Filing History:


Years Active: 2007-2025

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52 patents (USPTO):

Title: The Innovative Journey of Inventor Stanley Hong

Introduction:

Stanley Hong, a prolific inventor based in San Jose, California, has made significant contributions to the field of analog neural memory in deep learning artificial neural networks. With 37 patents to his name, his inventive spirit and dedication to pushing the boundaries of technology are truly commendable.

Latest Patents:

Stanley Hong's latest patents demonstrate his expertise in developing advanced technologies for analog neural memory systems. His invention of the Word Line and Control Gate Line Tandem Decoder enhances the efficiency of deep learning artificial neural networks by reducing leakage current when the decoder is not in use. Additionally, his Precision Tuning of Non-Volatile Memory Cells in an Analog Neural Memory System showcases his innovative approach to optimizing memory cell performance.

Career Highlights:

Having worked at Silicon Storage Technology, Inc. and Atmel Corporation, Stanley Hong has gained valuable experience in the semiconductor industry. His expertise in memory technologies has been instrumental in shaping the landscape of digital storage solutions.

Collaborations:

Throughout his career, Stanley Hong has collaborated with talented individuals such as Hieu Van Tran and Thuan Vu. Together, they have shared their knowledge and expertise to drive innovation and create cutting-edge solutions in the field of analog neural memory.

Conclusion:

Inventor Stanley Hong's remarkable achievements in the realm of analog neural memory underscore his passion for innovation and his relentless pursuit of excellence. His inventive prowess continues to inspire others in the industry, paving the way for groundbreaking advancements in deep learning artificial neural networks.

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