Kawasaki, Japan

Yuichi Ike

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Fujitsu Corporation. Active years: 2024-2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Yuichi Ike

Introduction

Yuichi Ike is a notable inventor based in Kawasaki, Japan. He has made significant contributions to the field of information processing and data clustering. With a total of 2 patents, his work focuses on enhancing machine learning and data analysis techniques.

Latest Patents

Yuichi Ike's latest patents include a storage medium, estimation method, and information processing device. This invention involves a non-transitory computer-readable storage medium that stores an estimation program. The program enables a computer to execute processes such as specifying representative points of training clusters and estimating determination accuracy using a machine learning model.

Another significant patent is a non-transitory computer-readable recording medium that stores a data clustering program. This program allows a computer to calculate eigenvectors using principal component analysis and execute clustering based on the curvature of a multidimensional function. These innovations demonstrate his expertise in developing advanced computational methods.

Career Highlights

Yuichi Ike is currently employed at Fujitsu Corporation, where he continues to push the boundaries of technology. His work at Fujitsu has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Yasuhiko Asao and Yuhei Umeda. Their collaborative efforts contribute to the innovative environment at Fujitsu Corporation.

Conclusion

Yuichi Ike's contributions to the field of information processing and data clustering highlight his role as a leading inventor. His patents reflect a commitment to advancing technology and improving machine learning applications.

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