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Preferred Networks, Inc.

USPTO Granted Patents = 76

Trademarks = 18

Forward Citations = 118

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100 inventors (with patents filed for the assignee):

Daisuke Okanohara (17 out of 18 patents)

Eiichi Matsumoto (14 out of 14 patents)

Ryosuke Okuta (12 out of 13 patents)

4. Kenta Oono (10 out of 10 patents)

5. Keigo Kawaai (9 out of 9 patents)

6. Taizan Yonetsuji (7 out of 7 patents)

7. Seiya Tokui (7 out of 7 patents)

8. Justin B Clayton (6 out of 6 patents)

9. Hiroshi Nakagawa (5 out of 24 patents)

10. Shohei Hido (5 out of 5 patents)

11. Tanvir Ahmed (4 out of 6 patents)

12. Takeru Miyato (4 out of 4 patents)

13. Yuya Unno (4 out of 4 patents)

14. Shougo Inagaki (3 out of 5 patents)

15. Ken Namura (3 out of 3 patents)

Core Competencies:

Neural Networks

Hyperparameter Tuning

Generative Machine Learning

Data Compression

Abnormality Detection

Robot Systems

Image Generation

Tactile Information Estimation

Gaze Point Estimation

Compiler Technology

Fault Prediction

3D Model Generation

76 patents: Sort by Forward Citations

1. 12481445 - Processing system and processing method for neural network (2025-11-25),

2. 12481255 - Control system, control method, and control program for determining operation data by repeatedly calculating control target data indicating a predicted value of a control target in a plant (2025-11-25),

3. 12430147 - Hyperparameter tuning method, program trial system, and computer program (2025-09-30),

4. 12430129 - Instruction generating method, arithmetic processing device, and instruction generating device (2025-09-30),

5. 12423622 - Generative machine learning systems for generating structural information regarding chemical compound (2025-09-23),

6. 12393473 - Method for determining parallelization axes combination for split scheme, determining device, and computing system (2025-08-19),

7. 12367025 - Compiler, generation method, chip, and execution method (2025-07-22),

8. 12361695 - Information processing device, information processing program, and information processing method (2025-07-15),

9. 12327114 - Processing cores and information transfer circuits arranged in matrix (2025-06-10),

10. 12255149 - Semiconductor device and data transferring method for semiconductor device (2025-03-18),

11. 12248286 - Inferring device, training device, inferring method, and training method (2025-03-11),

12. 12182911 - Image generation method, image generation apparatus, and image generation system (2024-12-31),

13. 12162150 - Learning method, learning apparatus, and learning system (2024-12-10),

14. 12155400 - Data compression method, data compression apparatus, data decompression method, data decompression apparatus and data storage system (2024-11-26),

15. 12154031 - Information processing system, model generation processing system, and information processing method (2024-11-26),

Preferred Networks, Inc. is a Japanese technology company specializing in Artificial Intelligence (AI) and Deep Learning. They develop cutting-edge AI solutions for various industries including autonomous driving, robotics, and healthcare. With a team of talented researchers and engineers, Preferred Networks aims to revolutionize the way machines and humans interact, making the world a smarter and better place.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 9 2025

76 Patents

#557 in Tokyo

#1,300 in Japan

#9,493 in the World

Preferred Networks, Inc.

Forward Citations = 118

100 inventors:

Daisuke Okanohara (17 out of 18 patents)

Eiichi Matsumoto (14 out of 14 patents)

Ryosuke Okuta (12 out of 13 patents)

4. Kenta Oono (10 out of 10 patents)

5. Keigo Kawaai (9 out of 9 patents)

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