Tokyo, Japan

Kazuya Hirayu

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kazuya Hirayu. Retrieved from https://idiyas.com/inventor/kazuya-hirayu

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 = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kazuya Hirayu - Innovator in Machine Learning

Kazuya Hirayu is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of machine learning, particularly in image recognition technology. His innovative approach has led to the development of a unique patent that enhances the training of image recognition models.

Latest Patents

Kazuya Hirayu holds a patent for a method titled "Data augmentation for machine learning." This computer-implemented method trains an image recognition model by utilizing a set of processor units to create a saliency map of an original image. The saliency map is then superimposed on the original image to form an augmented image, which is subsequently used to train the image recognition model. This innovative technique improves the efficiency and accuracy of machine learning applications.

Career Highlights

Kazuya Hirayu is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with leading experts in the field and contribute to cutting-edge research and development in machine learning technologies.

Collaborations

Some of Kazuya's notable coworkers include Hiromi Kobayashi and Masaharu Sakamoto. Their collaborative efforts have further advanced the research and applications of machine learning within the company.

Conclusion

Kazuya Hirayu's contributions to machine learning through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the field and inspire future innovations.

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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