This inventor holds 75 USPTO granted patents and 9 published patent applications and 12 EPO patents, primarily in Deep Learning Optimization (CPC class G06F). Top assignees: International Business Machines Corporation, Organo Corporation, Honda Motor Co., Ltd.. Active years: 1980-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
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Years Active: 1980-2026
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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.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile