Tokyo, Japan

Takehiro Wakabayashi

This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2024.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Takehiro Wakabayashi: Innovator in Machine Learning and Data Management

Introduction

Takehiro Wakabayashi is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of machine learning and data management. With a focus on enhancing data quality and tracking techniques, his work has implications for various industries.

Latest Patents

Wakabayashi holds 2 patents that showcase his innovative approach. His latest patents include a method for image recognition training data quality enhancement. This patent involves receiving a dataset of labeled images, obtaining characteristics of each label, and performing an outlier test to identify modification candidates for re-labeling. Another notable patent focuses on tracking techniques for generated data. This invention provides a method for monitoring confidential files during machine learning training, ensuring accurate deletion upon project completion.

Career Highlights

Wakabayashi is currently employed at International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further advancing the capabilities of machine learning applications.

Collaborations

One of his notable coworkers is Shingo Nagai, with whom he has worked on various projects. Their collaboration has contributed to the development of innovative solutions in data management and machine learning.

Conclusion

Takehiro Wakabayashi's contributions to machine learning and data management highlight his role as an influential inventor. His patents reflect a commitment to improving data quality and tracking techniques, which are essential in today's data-driven world.

Profile summary based on public USPTO records.
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