Tokyo, Japan

Yousuke Okada

This inventor holds 1 USPTO granted patent. Top assignee: Abeja, Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yousuke Okada. Retrieved from https://idiyas.com/inventor/yousuke-okada-rookip1c

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Yousuke Okada: Innovator in Machine Learning Technology

Introduction

Yousuke Okada is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on creating utility models that enhance practical applications of learning models.

Latest Patents

Yousuke Okada holds a patent for a "Computer system and method for machine learning or inference." The purpose of this invention is to train a learning model and create a utility model that assists in practical operations. The system prepares learning models in one or more learning units, receives input from a data source, and trains the models using the learning data. The finalized utility models are then deployed to inference units, which execute inferences based on the utility data received.

Career Highlights

Yousuke Okada is currently employed at Abeja, Inc., where he continues to develop innovative solutions in machine learning. His expertise in this area has positioned him as a valuable asset to his company and the broader tech community.

Collaborations

Yousuke collaborates with talented coworkers, including Takanori Ogata and Takuma Teramoto. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Yousuke Okada's work in machine learning exemplifies the innovative spirit of modern inventors. His contributions are paving the way for practical applications that can significantly impact various industries.

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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