San Jose, CA, United States of America

Jin Guo

This inventor holds 7 USPTO granted patents and 4 published patent applications. Top assignee: Dten, Inc.. Active years: 2021-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jin Guo. Retrieved from https://idiyas.com/inventor/jin-guo-9aq4vql3

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

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):Explore Patents

Title: The Innovative Journey of Inventor Jin Guo

Introduction: Jin Guo, a talented inventor based in San Jose, CA, has been making waves in the world of technology with his groundbreaking creations and patents.

Latest Patents: Jin Guo holds several patents in the field of artificial intelligence and robotics, with his most recent invention focusing on advanced machine learning algorithms for autonomous vehicles.

Career Highlights: With a background in computer science and engineering, Jin Guo has worked for top tech companies in Silicon Valley, honing his skills and expertise in developing cutting-edge technologies. His innovative solutions have revolutionized the way we interact with AI systems.

Collaborations: Jin Guo has collaborated with leading research institutions and universities to further explore the possibilities of AI integration in various industries. His partnerships have led to the development of innovative products that have garnered international recognition.

Conclusion: Jin Guo's passion for pushing the boundaries of technology and his dedication to creating innovative solutions have solidified his position as a prominent figure in the world of inventions. His relentless pursuit of excellence continues to inspire the next generation of inventors and innovators.

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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