Tokyo, Japan

Hiroshi Inoue

USPTO Granted Patents = 73 

 

Average Co-Inventor Count = 1.9

ph-index = 11

Forward Citations = 465(Granted Patents)


Inventors with similar research interests:


Company Filing History:

goldMedal26 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal15 out of 146 
 
Organo Corporation
 patents
bronzeMedal6 out of 21,831 
 
Honda Motor Co., Ltd.
 patents
43 out of 370 
 
Tanaka Kikinzoku Kogyo K.k.
 patents
53 out of 3 
 
Kosaka Smelting & Refining Co., Ltd.
 patents
63 out of 2,916 
 
Tokyo Shibaura Denki Kabushiki Kaisha
 patents
73 out of 90,594 
 
Canon Kabushiki Kaisha
 patents
83 out of 5,289 
 
Nippon Telegraph and Telephone Corporation
 patents
92 out of 4,979 
 
Oki Electric Industry Co., Ltd.
 patents
102 out of 98 
 
Asahi Denka Kogyo Kabushiki Kaisha
 patents
112 out of 241 
 
Hino Motors, Ltd.
 patents
122 out of 21,351 
 
Mitsubishi Denki Kabushiki Kaisha
 patents
132 out of 14 
 
Dowa Metals & Mining Co., Ltd.
 patents
142 out of 2 
 
Nippon Pgm Co., Ltd.
 patents
152 out of 15,844 
 
Mitsubishi Electric Corporation
 patents
161 out of 5,671 
 
Globalfoundries Inc.
 patents
171 out of 28,544 
 
Ricoh Company, Ltd.
 patents
181 out of 217 
 
Dowa Mining Co., Ltd.
 patents
191 out of 1 
 
Hkt Corporation
 patent
201 out of 6,648 
 
Kyocera Corporation
 patents
211 out of 1,631 
 
Mitsubishi Electric Research Laboratories, Inc.
 patents
221 out of 90 
 
The University of Electro-communications
 patents
231 out of 3 
 
Hibino Corporation
 patents
where one patent can have more than one assignee

Years Active: 1980-2025

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73 patents (USPTO):

Title: Hiroshi Inoue: Innovator in Deep Learning and Facility Rating Technologies

Introduction

Hiroshi Inoue is a prominent inventor based in Tokyo, Japan, credited with 71 patents spanning various innovative technologies. His work focuses primarily on enhancements in deep neural network training and facility evaluation methodologies.

Latest Patents

Among his latest significant contributions are two groundbreaking patents. The first patent is titled "Multi-sample dropout for faster deep neural network training." This invention details a computer-implemented method that generates multiple dropout samples during deep neural network training. The method includes creating random masks at a dropout layer and employing shared parameters at a fully connected layer, ultimately calculating a final loss value by averaging loss values from the dropout samples.

The second patent, "Facility rating device and facility rating method," introduces a reliable system for facility evaluation that eliminates arbitrary ratings. This invention comprises a server system that creates and updates facility rating information derived from parking data. The system assesses the position of a mobile entity with a vehicle or the parking capability in the facility, providing a rating that reflects actual usage.

Career Highlights

Hiroshi has held significant positions at notable companies throughout his career. He has contributed his expertise to both IBM and Organo Corporation, where he has played critical roles in pushing the boundaries of technology through his patents and research.

Collaborations

During his professional journey, Hiroshi has collaborated with esteemed colleagues, including Koji Yamanaka and Makio Tamura. These partnerships have fostered an environment of innovation that has furthered advancements in technology and research.

Conclusion

Hiroshi Inoue's contributions to deep learning and facility rating technologies showcase his inventive spirit and dedication to advancing technology. With a wealth of patents to his name and collaborative efforts with other experts, Inoue continues to inspire innovation in the tech industry.

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