Toyohashi, Japan

Koichi Saito

This inventor holds 1 USPTO granted patent. Top assignee: Konica Minolta, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Koichi Saito. Retrieved from https://idiyas.com/inventor/koichi-saito-zfvmoksf

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Koichi Saito: Innovator in Machine Learning Technology

Introduction

Koichi Saito is a prominent inventor based in Toyohashi, Japan. He has made significant contributions to the field of machine learning, particularly in the development of devices and methods that enhance the efficiency of transport systems.

Latest Patents

Saito holds a patent for a machine learning device, machine learning method, and machine learning program. This innovative device continuously learns the actions of a driving source in a transport device that transports at least two objects along a designated path. The device utilizes a hardware processor to acquire position information from sensors, calculate rewards based on this information, and learn actions through reinforcement learning. Ultimately, it generates control information to optimize the performance of the driving source.

Career Highlights

Koichi Saito is currently employed at Konica Minolta, Inc., where he applies his expertise in machine learning to develop advanced technologies. His work has positioned him as a key figure in the intersection of machine learning and transport systems.

Collaborations

Saito collaborates with talented colleagues, including Tomohiro Kiriyama and Shun Sugai, to further enhance the capabilities of their projects and drive innovation within their field.

Conclusion

Koichi Saito's contributions to machine learning technology exemplify the impact of innovative thinking in modern transport systems. His work continues to influence advancements in the industry and showcases the potential of machine learning applications.

Profile summary based on public USPTO records.
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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