Kobe, Japan

Yuki Hayashi

This inventor holds 1 USPTO granted patent. Top assignee: Alpacadb, Inc.. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuki Hayashi. Retrieved from https://idiyas.com/inventor/yuki-hayashi-frcl3jiu

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

Calculating rank

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Yuki Hayashi: Innovator in Online Content Classification

Introduction

Yuki Hayashi is a prominent inventor based in Kobe, Japan. He has made significant contributions to the field of machine learning and online content classification. His innovative approach has led to the development of a unique patent that enhances the efficiency of content classification systems.

Latest Patents

Yuki Hayashi holds a patent for an "Online content classifier which updates a classification score based on a count of labeled data classified by machine deep learning." This invention focuses on training a machine learning system to classify online content effectively. The process involves selecting a batch of data items from unlabeled test data, which are then communicated to a client computer for user labeling. The labeled data items are utilized to train the machine learning system, ensuring continuous improvement until the classification result score meets a predetermined threshold.

Career Highlights

Yuki is currently employed at Alpacadb, Inc., where he applies his expertise in machine learning and data classification. His work has been instrumental in advancing the capabilities of online content classification technologies.

Collaborations

Yuki collaborates with Hitoshi Harada, a talented colleague who contributes to their shared projects and innovations.

Conclusion

Yuki Hayashi's contributions to online content classification through his innovative patent demonstrate his commitment to advancing technology in the field of machine learning. His work continues to influence the way content is classified and processed in the digital 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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