Tokyo, Japan

Ayaka Iwamoto

This inventor holds 1 USPTO granted patent. Top assignee: Ntt Data Japan Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayaka Iwamoto. Retrieved from https://idiyas.com/inventor/ayaka-iwamoto

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: 2026

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1 patent (USPTO):Explore Patents

Title: Ayaka Iwamoto: Innovator in Interactive Learning Systems

Introduction

Ayaka Iwamoto is a prominent inventor based in Tokyo, Japan. She has made significant contributions to the field of interactive learning systems. Her innovative work focuses on utilizing machine learning to enhance educational experiences.

Latest Patents

Iwamoto holds a patent for a "Predictor Interactive Learning System, Predictor Interactive Learning Method, and Program." This invention includes a machine learning unit that performs learning of a predictor, which outputs a predicted value indicating the likelihood of a predetermined intrinsic expression. The system also features an interest score calculation unit, an interactive learning frame unit, and a question-response unit, all designed to improve the learning process through interaction and feedback.

Career Highlights

Ayaka Iwamoto is currently employed at NTT Data Japan Corporation, where she continues to develop her innovative ideas. Her work has garnered attention for its potential to revolutionize how interactive learning is approached in various educational settings.

Collaborations

Iwamoto collaborates with notable colleagues, including Shigemasa Mitoma and Qingci Zhao. Their combined expertise contributes to the advancement of technology in the field of education.

Conclusion

Ayaka Iwamoto is a trailblazer in the realm of interactive learning systems, with her patent showcasing her innovative spirit and dedication to enhancing educational methodologies. Her contributions are paving the way for future advancements in this important field.

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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