Tokyo, Japan

Toru Nishikawa

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 24(Granted Patents)


Location History:

  • Chiyoda-ku, JP (2015)
  • Tokyo, JP (2006 - 2021)

Company Filing History:


Years Active: 2006-2021

Loading Chart...
Loading Chart...
7 patents (USPTO):Explore Patents

Title: The Innovations of Toru Nishikawa

Introduction

Toru Nishikawa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of materials science and machine learning, holding a total of seven patents. His work reflects a commitment to advancing technology and improving processes in various applications.

Latest Patents

One of Nishikawa's latest patents is a method of forming a reinforcing fiber substrate. This innovative method involves arranging a platform adjacent to a mold with a projection, layering reinforced fiber base material, and shaping the laminate along the projection. Another notable patent focuses on machine learning with model filtering and model mixing for edge devices in a heterogeneous environment. This invention allows edge devices to analyze data, create local models, and communicate with other devices to enhance machine learning capabilities.

Career Highlights

Throughout his career, Nishikawa has worked with notable companies such as Asahi Glass Company, Limited and Preferred Networks, Inc. His experience in these organizations has contributed to his expertise in developing cutting-edge technologies.

Collaborations

Nishikawa has collaborated with talented individuals in his field, including Hironobu Yamamichi and Tetsuya Koyama. These partnerships have fostered innovation and the exchange of ideas, further enhancing his contributions to technology.

Conclusion

Toru Nishikawa's work exemplifies the spirit of innovation and dedication to advancing technology. His patents and collaborations highlight his significant impact on the fields of materials science and machine learning.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…