Stanley Hong

This inventor holds 113 USPTO granted patents and 43 published patent applications, plus 10 CIPO patents and 52 EPO patents, primarily in Analog Neural Memory. Top assignees: Silicon Storage Technology, Inc., Illumina Corporation, Illumina Cambridge Limited. Active years: 2007-2026.

USPTO Granted Patents = 113 (Patent Applications = 43)

% Patents Active = 93.8

CIPO Patents = 10 (Patent Applications = 8)

EPO Patents = 52 (Patent Applications = 91)

Average Co-Inventor Count = 5.5

ph-index = 9

Forward Citations = 435(Granted Patents)

Forward Citations (Not Self Cited) = 47(Dec 10, 2025)

Location History:

Hayward, CA (US) (2015)
San Jose, CA (US) (2007 - 2024)
Palo Alto, CA (US) (2012 - 2024)
Menlo Park, CA (US) (2015 - 2024)
San Diego, CA (US) (2020 - 2024)

Company Filing History:

61 out of 654

Silicon Storage Technology, Inc.

Illumina Cambridge Limited

Lightspeed Genomics, Inc.

patents

6. 1 out of 5

Optical Biosystems, Inc.

patents

where one patent can have more than one assignee

Years Active: 2007-2026

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Areas of Expertise:

Neural Network

Deep Learning

Analog Memory

Non-Volatile Memory

Bias Decoder

Memory Cells

Programming Circuit

Voltage Converter

Testing Circuitry

Redundancy

Calibration

Array Architecture

113 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12724562 - Masking sparse inputs and outputs in neural network array (2026-09-01),

2. 12720229 - Multiband scanning and fiber bundle to enable reduced light source intensity and improved imaging quality (2026-08-25),

3. 12699890 - Word line driver for vector-by-matrix multiplication array (2026-08-04),

4. 12694070 - Verification method and system in artificial neural network array (2026-07-28),

5. 12670377 - Adjustable programming circuit for neural network (2026-06-30),

6. 12670376 - Testing circuitry and methods for analog neural memory in artificial neural network (2026-06-30),

7. 12670228 - Vector-by-matrix-multiplication array utilizing analog outputs (2026-06-30),

8. 12623224 - Integrated optoelectronic read head and fluidic cartridge useful for nucleic acid sequencing (2026-05-12),

9. 12608137 - Redundancy for an array of non-volatile memory cells using tag registers (2026-04-21),

10. 12579422 - Input circuitry for analog neural memory in a deep learning artificial neural network (2026-03-17),

11. 12558687 - Systems, methods, and apparatuses to image a sample for biological or chemical analysis (2026-02-24),

12. 12530561 - Artificial neural network comprising an analog array and a digital array (2026-01-20),

13. 12518829 - Adaptive bias decoder for non-volatile memory system (2026-01-06),

14. 12505511 - AI-driven enhancement of motion blurred sequencing images (2025-12-23),

15. 12499945 - Adaptive bias decoder for non-volatile memory system (2025-12-16),

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.