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For the Inventor, By the Inventor

Beijing, China

Cambricon Technologies Corporation Limited

Calculating rank
USPTO Granted Patents = 140


Trademarks = 7

Forward Citations = 189

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79 inventors (with patents filed for the assignee):

goldMedal Shaoli Liu (102 out of 181 patents)

silverMedal Tianshi Chen (65 out of 134 patents)

bronzeMedal Yunji Chen (53 out of 76 patents)

4.  Bingrui Wang (42 out of 59 patents)

5.  Yao Zhang (41 out of 118 patents)

6.  Qi Guo (32 out of 65 patents)

7.  Xinkai Song (23 out of 26 patents)

8.  Shuai Hu (22 out of 49 patents)

9.  Tian Zhi (14 out of 20 patents)

10.  Xiaofu Meng (14 out of 21 patents)

11.  Jun Liang (12 out of 63 patents)

12.  Xiao Lin Zhang (11 out of 71 patents)

13.  Huiying Lan (8 out of 9 patents)

14.  Jinhua Tao (8 out of 10 patents)

15.  Dong Han (8 out of 12 patents)


Core Competencies:
Neural Network
Integrated Circuit
Tensor Processing
Artificial Intelligence
Data Processing
Convolutional Networks
Fractal Computing
Self-Learning Operations
Fixed Point Numbers
Backward Propagation
Video Retrieval
Heat Dissipation

140 patents:

1. 12783861 - Data processing apparatus and method for executing neural network model, and related products (2026-11-03),
2. 12688400 - Computational neural network apparatus, card, method, and readable storage medium (2026-07-21),
3. 12645752 - Winograd convolution operation method, apparatus, and device, and storage medium (2026-06-02),
4. 12596929 - Integrated circuit with dynamic fusing of neural network branch structures by topological sequencing (2026-04-07),
5. 12554991 - Device and method for performing self-learning operations of an artificial neural network (2026-02-17),
6. 12547902 - Device and method for neural network computing, and board and readable storage medium (2026-02-10),
7. 12547670 - Operation apparatus (2026-02-10),
8. 12481886 - Calculating device and method for a sparsely connected artificial neural network (2025-11-25),
9. 12475356 - Neural network processing method, computer system and storage medium (2025-11-18),
10. 12423582 - Apparatus and methods for training in convolutional neural networks (2025-09-23),
11. 12423560 - Apparatus and methods for forward propagation in convolutional neural networks (2025-09-23),
12. 12423559 - Apparatus and methods for forward propagation in neural networks supporting discrete data (2025-09-23),
13. 12423054 - Apparatus and methods for neural network operations supporting fixed point numbers of short bit length (2025-09-23),
14. 12417098 - Data processing method and apparatus, and related product for increased efficiency of tensor processing (2025-09-16),
15. 12400125 - Learning task compiling method of artificial intelligence processor and related products (2025-08-26),
Company Overview
Cambricon Technologies Corporation Limited, based in Beijing, specializes in neural network computing and artificial intelligence technologies. The company focuses on developing advanced integrated circuits and tensor processing units that enhance data processing capabilities. With expertise in convolutional networks and fractal computing, Cambricon is at the forefront of self-learning operations, driving innovation in AI applications across various sectors. Its commitment to research and development positions it as a key player in the evolving landscape of intelligent computing.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Nov 3 2026

140 Patents

#43 in Beijing

#243 in China

#5,787 in the World

Beijing, CN
Beijing, China

Cambricon Technologies Corporation Limited

Forward Citations = 189

79 inventors:

goldMedal Shaoli Liu (102 out of 181 patents)

silverMedal Tianshi Chen (65 out of 134 patents)

bronzeMedal Yunji Chen (53 out of 76 patents)

4.  Bingrui Wang (42 out of 59 patents)

5.  Yao Zhang (41 out of 118 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Cambricon Technologies Corporation Limited. Retrieved from https://idiyas.com/company/cambricon-technologies

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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