San Jose, CA, United States of America

Jeffrey T Huynh

This inventor holds 27 USPTO granted patents and 3 published patent applications, primarily in Neural Networks. Top assignees: Amazon Technologies, Inc., Marvell Asia Pte., Ltd., Cavium, Inc.. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeffrey T Huynh. Retrieved from https://idiyas.com/inventor/jeffrey-t-huynh

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

USPTO Granted Patents = 27 

% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 5

Forward Citations = 102(Granted Patents)


Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Neural Network Debugging
Memory Operations
Processing Element Array
Systolic Array
Hierarchical Partitioning
Chained Lookups
Wildcard Matching
Data Selection Circuit
Transpose Operations
Error Detection Codes
Parallel Execution
27 patents (USPTO):Explore Patents

Title: The Innovative Mind of Jeffrey T Huynh

Introduction

Jeffrey T Huynh, an accomplished inventor based in San Jose, CA, has made significant contributions to the field of technology through his 25 patents. With a focus on enhancing processing efficiency in computational systems, Huynh's innovations reflect a deep understanding of complex machine learning frameworks and neural network applications.

Latest Patents

Among his latest patents is the one titled "Efficient Utilization of Processing Element Array." This invention addresses the challenges of under-utilization in convolution operations by developing instructions that allow processing element arrays to maximize their potential. By guiding the concurrency of input matrix processing, Huynh’s invention aims to improve performance in matrix multiplications crucial for various applications.

Another notable patent involves "Hierarchical Partitioning of Operators." This method provides ways to effectively partition operators of neural networks for execution on acceleration engines. By identifying which operators can be executed satisfactorily on different components, Huynh’s innovation ensures that neural networks can run efficiently even when new framework operators outpace existing compiler capabilities.

Career Highlights

Throughout his career, Jeffrey has worked with prominent companies, including Amazon Technologies, Inc. and Marvell Asia Pte., Ltd. His experience in these organizations has undoubtedly influenced his inventive capabilities and the development of cutting-edge technologies. He has consistently focused on advancing computational techniques and enhancing system efficiencies through innovative designs.

Collaborations

Working alongside talented colleagues such as Ron Diamant and Randy Renfu Huang, Jeffrey has likely engaged in fruitful discussions and collaborations that have propelled his inventive journey. Such partnerships have enabled him to combine different areas of expertise to achieve groundbreaking results in technology.

Conclusion

Jeffrey T Huynh stands out as a key figure in the world of technology innovation. His portfolio of patents highlights his dedication to improving processing systems and advancing machine learning frameworks. As he continues to pioneer new inventions, Huynh is sure to inspire future generations of inventors aiming to make their mark in the tech industry.

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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