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Milpitas, CA, United States of America

Gyrfalcon Technology Inc.

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USPTO Granted Patents = 50

% Expired Patents = 2.0

Trademarks = 2

Forward Citations = 194

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23 inventors (with patents filed for the assignee):

Lin Yang (46 out of 71 patents)

Baohua Sun (28 out of 28 patents)

Patrick Dong (22 out of 22 patents)

4. Chyu-Jiuh Torng (15 out of 100 patents)

5. Qi Dong (14 out of 14 patents)

6. Jason Zeng Dong (12 out of 12 patents)

7. Charles Jin Young (11 out of 11 patents)

8. Yequn Zhang (7 out of 7 patents)

9. Wenhan Zhang (7 out of 7 patents)

10. Daniel H Liu (5 out of 10 patents)

11. Yongxiong Ren (4 out of 19 patents)

12. Xiaochun Li (3 out of 5 patents)

13. Xiang Gao (3 out of 28 patents)

14. Bin Yang (2 out of 2 patents)

15. Yinbo Shi (2 out of 2 patents)

Core Competencies:

CNN Based Integrated Circuits

Artificial Intelligence

Memory Subsystems

Image Classification

Feature Extraction

Natural Language Processing

Motion Recognition

Parallel Configuration

Quantization

Deep Learning

Ensemble Learning

Semantic Meaning

50 patents: Sort by Forward Citations

1. 11526723 - Apparatus and methods of obtaining multi-scale feature vector using CNN based integrated circuits (2022-12-13),

2. 11507829 - Greedy approach for obtaining an artificial intelligence model in a parallel configuration (2022-11-22),

3. 11475298 - Using quantization in training an artificial intelligence model in a semiconductor solution (2022-10-18),

4. 11429853 - Systems and methods for determining an artificial intelligence model in a communication system (2022-08-30),

5. 11335045 - Combining feature maps in an artificial intelligence semiconductor solution (2022-05-17),

6. 11334801 - Systems and methods for determining an artificial intelligence model in a communication system (2022-05-17),

7. 11281911 - 2-D graphical symbols for representing semantic meaning of a video clip (2022-03-22),

8. 10943168 - System and method for determining an artificial intelligence model in a decentralized network (2021-03-09),

9. 10902313 - System and method for determining an artificial intelligence model in a decentralized network (2021-01-26),

10. 10733039 - Effective chip yield for artificial intelligence integrated circuit with embedded memory (2020-08-04),

11. 10713830 - Artificial intelligence based image caption creation systems and methods thereof (2020-07-14),

12. 10672455 - Method of self-testing and reusing of reference cells in a memory architecture (2020-06-02),

13. 10592804 - Memory subsystem in CNN based digital IC for artificial intelligence (2020-03-17),

14. 10552733 - Memory subsystem in CNN based digital IC for artificial intelligence (2020-02-04),

15. 10546234 - Buffer memory architecture for a CNN based processing unit and creation methods thereof (2020-01-28),

Company Overview

Gyrfalcon Technology Inc., based in Milpitas, California, specializes in the development of advanced artificial intelligence circuits. The company focuses on creating integrated circuits that leverage convolutional neural networks (CNN) for various applications, including image classification, feature extraction, and natural language processing. Gyrfalcon's innovations extend to memory subsystems and motion recognition technologies, enabling efficient parallel configurations that enhance performance across diverse AI-driven solutions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

50 Patents

#43 in Milpitas, CA

#1,650 in California

#7,014 in US

#14,028 in the World

Milpitas, CA, United States of America

Gyrfalcon Technology Inc.

Forward Citations = 194

23 inventors:

Lin Yang (46 out of 71 patents)

Baohua Sun (28 out of 28 patents)

Patrick Dong (22 out of 22 patents)

4. Chyu-Jiuh Torng (15 out of 100 patents)

5. Qi Dong (14 out of 14 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Gyrfalcon Technology Inc.. Retrieved from https://idiyas.com/company/gyrfalcon-technology

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

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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