Yokohama Kangawa, Japan

Yusuke Natsui

This inventor holds 1 USPTO granted patent. Top assignee: Kabushiki Kaisha Toshiba. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yusuke Natsui. Retrieved from https://idiyas.com/inventor/yusuke-natsui-fyxgw9o6

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yusuke Natsui: Innovator in Learning Apparatus Technology

Introduction

Yusuke Natsui is a prominent inventor based in Yokohama, Kanagawa, Japan. He has made significant contributions to the field of learning apparatus technology. His innovative approach focuses on enhancing neural network models through adaptation processing.

Latest Patents

Yusuke Natsui holds a patent for a learning apparatus and method. According to one embodiment, this learning apparatus includes a processor that performs adaptation processing on a neural network model. This processing involves either the insertion of an activation function or the correction of the activation function. The processor generates a trained model by training the neural network model on which the adaptation processing has been performed. Additionally, the processor performs pruning on the trained model to create a reconstructed model from which a parameter has been reduced. He has 1 patent to his name.

Career Highlights

Yusuke Natsui is associated with Kabushiki Kaisha Toshiba, a leading technology company. His work at Toshiba has allowed him to explore and develop advanced technologies in the field of artificial intelligence and machine learning.

Collaborations

Some of his notable coworkers include Albert Rodriguez Mulet and Shuhei Nitta. Their collaboration has contributed to the advancement of innovative technologies within their projects.

Conclusion

Yusuke Natsui is a key figure in the development of learning apparatus technology, with a focus on neural network models. His contributions continue to influence the field of artificial intelligence and machine learning.

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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