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For the Inventor, By the Inventor

San Jose, CA, United States of America

Jason Zeng Dong

This inventor holds 12 USPTO granted patents and 1 published patent application. Top assignee: Gyrfalcon Technology Inc.. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jason Zeng Dong. Retrieved from https://idiyas.com/inventor/jason-zeng-dong

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

USPTO Granted Patents = 12 

% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 34(Granted Patents)


Company Filing History:

goldMedal12 out of 50 
 
Gyrfalcon Technology Inc.
 patents

Years Active: 2019-2021

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12 patents (USPTO):Explore Patents
1. 10943168 - System and method for determining an artificial intelligence model in a decentralized network (2021-03-09),
2. 10902313 - System and method for determining an artificial intelligence model in a decentralized network (2021-01-26),
3. 10482374 - Ensemble learning based image classification systems (2019-11-19),
4. 10402628 - Image classification systems based on CNN based IC and light-weight classifier (2019-09-03),
5. 10387772 - Ensemble learning based image classification systems (2019-08-20),
6. 10387740 - Object detection and recognition apparatus based on CNN based integrated circuits (2019-08-20),
7. 10366328 - Approximating fully-connected layers with multiple arrays of 3x3 convolutional filter kernels in a CNN based integrated circuit (2019-07-30),
8. 10360470 - Implementation of MobileNet in a CNN based digital integrated circuit (2019-07-23),
9. 10331983 - Artificial intelligence inference computing device (2019-06-25),
10. 10311149 - Natural language translation device (2019-06-04),
11. 10296817 - Apparatus for recognition of handwritten Chinese characters (2019-05-21),
12. 10192148 - Machine learning of written Latin-alphabet based languages via super-character (2019-01-29),

Title: The Innovations of Jason Zeng Dong: Pioneering AI in Decentralized Networks

Introduction: Jason Zeng Dong is a prominent inventor based in San Jose, California. With a remarkable portfolio of 12 patents, he has made significant contributions to the field of artificial intelligence and decentralized systems. His work reflects a deep understanding of technology and an innovative spirit that continues to shape the industry.

Latest Patents: Among his latest innovations is a patent titled "System and Method for Determining an Artificial Intelligence Model in a Decentralized Network." This cutting-edge system incorporates a decentralized communication network with multiple processing devices, each equipped with an artificial intelligence (AI) chip. The devices are designed to generate an AI model and assess its performance. If the model outperforms a predetermined measure within the network, it is broadcasted for verification. Once verified, the performance data is updated and shared across the network, enabling collaborative improvement and verification of AI models among processing devices.

Career Highlights: Jason Zeng Dong's career has been marked by his role at Gyrfalcon Technology Inc., where he leverages his expertise to drive innovative solutions in AI technology. His work not only enhances the efficiency of decentralized systems but also contributes to the broader field of artificial intelligence. His ability to blend theoretical knowledge with practical application is evident in his patents and ongoing projects.

Collaborations: Throughout his career, Jason has collaborated with talented individuals like Lin Yang and Patrick Dong. Their collective efforts foster an environment of creativity and technological advancement, allowing for the exploration of new ideas and the successful execution of complex projects.

Conclusion: Jason Zeng Dong stands out as an influential figure in the realm of innovations and patents, particularly in artificial intelligence. His dedication to advancing technology through inventive solutions positions him as a key player in shaping the future of decentralized networks. With a growing portfolio of patents, Jason's contributions will undoubtedly continue to inspire future advancements in the technology sector.

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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