Kyoto, Japan

Kenichi Hirotsu

This inventor holds 1 USPTO granted patent. Top assignee: Georgia Tech Research Corporation. Active years: 1995.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kenichi Hirotsu. Retrieved from https://idiyas.com/inventor/kenichi-hirotsu-ted5uk5y

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 1995

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1 patent (USPTO):Explore Patents

Title: Kenichi Hirotsu: Innovator in Neural Network Technology

Introduction

Kenichi Hirotsu is a prominent inventor based in Kyoto, Japan. He has made significant contributions to the field of artificial intelligence, particularly in the development of learning neural networks. His innovative approach has led to advancements that enhance the functionality of these networks.

Latest Patents

Hirotsu holds a patent for a "System and method for a learning neural network for generating random." This patent describes a learning neural network that implements a random weight change learning algorithm. The algorithm manipulates the weights applied to the inputs of the network to achieve desired functionality. The process involves changing weights randomly from an initial state with small incremental changes. The network iteratively adjusts weights based on the overall output and error, ultimately leading to a decrease in network error.

Career Highlights

Kenichi Hirotsu is associated with the Georgia Tech Research Corporation, where he continues to explore and develop innovative technologies. His work focuses on enhancing neural network capabilities, contributing to the broader field of artificial intelligence.

Collaborations

Hirotsu collaborates with Martin A. Brooke, leveraging their combined expertise to push the boundaries of neural network research.

Conclusion

Kenichi Hirotsu's contributions to neural network technology exemplify the innovative spirit of modern inventors. His work not only advances the field of artificial intelligence but also paves the way for future developments in this exciting area.

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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