Kyoto, Japan

Junko Tokuno

This inventor holds 1 USPTO granted patent. Top assignee: Kyoto University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Junko Tokuno. Retrieved from https://idiyas.com/inventor/junko-tokuno

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: 2023

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1 patent (USPTO):Explore Patents

Title: Junko Tokuno: Innovator in Machine Learning Technology

Introduction

Junko Tokuno is a prominent inventor based in Kyoto, Japan. She has made significant contributions to the field of machine learning, particularly through her innovative patent. Her work focuses on developing advanced technologies that enhance the understanding and application of machine learning devices.

Latest Patents

Junko Tokuno holds a patent for a machine learning device, estimation device, non-transitory computer readable medium, and learned model. This patent describes a machine learning device that includes a generation unit for creating a first shape model representing an object's shape before deformation and a second shape model for the shape after deformation. The device utilizes measurement data to learn the differences between micro regions of the shape models, providing valuable insights into the deformation process. She has 1 patent to her name.

Career Highlights

Junko Tokuno is affiliated with Kyoto University, where she continues to advance her research in machine learning technologies. Her academic background and innovative spirit have positioned her as a key figure in her field.

Collaborations

Throughout her career, Junko has collaborated with notable colleagues, including Tetsuya Matsuda and Hiroshi Date. These partnerships have fostered a dynamic research environment, leading to groundbreaking advancements in machine learning.

Conclusion

Junko Tokuno's contributions to machine learning technology exemplify her dedication to innovation and research. Her patent reflects her expertise and commitment to advancing the field, making her a noteworthy inventor in today's technological landscape.

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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