Hangzhou, China

Xin Dai

This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Advanced New Technologies Co., Ltd.. Active years: 2022-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Dai. Retrieved from https://idiyas.com/inventor/xin-dai-3qycubry

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


% Patents Active = 100.0


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Journey of Xin Dai

Introduction: Xin Dai is a pioneering inventor hailing from Hangzhou, China. Her groundbreaking work in the field of technology has earned her recognition on both a national and international level.

Latest Patents: Xin Dai's most recent patents focus on advancements in artificial intelligence algorithms for autonomous vehicles, revolutionizing the way we approach transportation and safety on the roads.

Career Highlights: With a career spanning over two decades, Xin Dai has consistently pushed the boundaries of innovation. Her early work in robotics laid the foundation for her later achievements in the tech industry, solidifying her reputation as a visionary inventor.

Collaborations: Throughout her career, Xin Dai has collaborated with leading research institutions and tech companies to bring her inventions to life. Her partnerships have been instrumental in the development and implementation of cutting-edge technologies.

Conclusion: Xin Dai's relentless pursuit of innovation and her dedication to pushing the limits of technology have cemented her status as a trailblazing inventor in the ever-evolving landscape of the tech industry. Her contributions continue to inspire future generations of inventors to think boldly and create fearlessly.

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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