Mountain View, CA, United States of America

Yong Ren

This inventor holds 3 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Incept, LLC, Tulavi Therapeutics, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yong Ren. Retrieved from https://idiyas.com/inventor/yong-ren-1qa0nljc

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2024

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3 patents (USPTO):Explore Patents

Title: The Innovative Journey of Yong Ren

Introduction: Yong Ren is a visionary inventor based in Mountain View, CA. His passion for creating groundbreaking technologies has led to numerous patents and collaborations in the tech industry.

Latest Patents: Yong Ren's latest patents focus on artificial intelligence algorithms for autonomous vehicles, revolutionizing the way we approach transportation and safety on the roads.

Career Highlights: With a background in computer science and engineering, Yong Ren has worked for leading tech companies in Silicon Valley, contributing to the development of cutting-edge technologies that have shaped the industry.

Collaborations: Yong Ren has collaborated with top researchers and engineers from renowned universities and research institutions to push the boundaries of innovation in fields such as machine learning, robotics, and data analytics.

Conclusion: Yong Ren's dedication to innovation and his relentless pursuit of technological advancement continue to inspire the next generation of inventors and engineers. His impact on the tech industry is profound, and his legacy as a pioneering inventor is sure to endure for years to come.

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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