Hiroshima, Japan

Yuya Nawate

This inventor holds 1 USPTO granted patent. Top assignee: Toyota Jidosha Kabushiki Kaisha. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuya Nawate. Retrieved from https://idiyas.com/inventor/yuya-nawate

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2021

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Yuya Nawate: Inventor in Hiroshima

Introduction

Yuya Nawate is an inventor based in Hiroshima, Japan. His patent work is associated with Toyota Jidosha Kabushiki Kaisha, commonly known as Toyota Motor Corporation. The provided information lists 1 patent for him.

Latest Patents

Nawate’s listed patent is “Interest Determination System, Interest Determination Method, and Storage Medium.” The invention describes a system that analyzes features of words in a user’s dialogue to determine whether the user is interested in a particular word. It uses a learning unit trained on data linking word features with information about user interest, then evaluates a word based on the model’s output.

Career Highlights

The available information connects Nawate’s patent activity with Toyota Motor Corporation. His listed invention applies machine learning to interpreting dialogue and identifying potential user interests.

Collaborations

The provided data names Michimasa Inaba and Tomoya Takatani as Nawate’s coworkers. It does not specify their roles in the patent or whether they collaborated on this invention.

Conclusion

Yuya Nawate’s listed patent reflects an application of machine learning to dialogue analysis and interest determination, associated with his work at Toyota Motor Corporation.

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]
Loading…