Tokyo, Japan

Takuma Teramoto

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takuma Teramoto. Retrieved from https://idiyas.com/inventor/takuma-teramoto

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: Takuma Teramoto: Innovator in Machine Learning Technology

Introduction

Takuma Teramoto 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 the practical application of learning models.

Latest Patents

Takuma Teramoto 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, assisting with operations for practical use. 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 deployed to inference units, which execute inferences based on utility data and transmit the results.

Career Highlights

Currently, Takuma Teramoto is 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

Some of his notable coworkers include Takanori Ogata and Yousuke Okada, who collaborate with him on various projects within the company.

Conclusion

Takuma Teramoto's contributions to machine learning through his patent demonstrate his commitment to advancing technology. His work at Abeja, Inc. 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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