Kawasaki, Japan

Daisuke Fukuda

This inventor holds 12 USPTO granted patents and 1 published patent application. Top assignee: Fujitsu Corporation. Active years: 2007-2023.

USPTO Granted Patents = 12 

% Patents Active = 16.7

Average Co-Inventor Count = 1.2

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Kawasaki, JP (2007 - 2014)
  • Setagaya, JP (2014 - 2023)

Company Filing History:


Years Active: 2007-2023

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12 patents (USPTO):Explore Patents

Title: Daisuke Fukuda: Innovator in Machine Learning Technologies

Introduction

Daisuke Fukuda is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the field of machine learning, holding a total of 12 patents. His work focuses on developing innovative methods that enhance data processing and analysis.

Latest Patents

Fukuda's latest patents include a machine learning method that involves acquiring data such as attendance records of employees and information regarding their leave of absence. This method generates tensors based on the attendance records and modifies parameters to create a model through machine learning. Another notable patent is a computer-readable recording medium and learning data generation method. This invention allows a learning device to receive and analyze learning data, generating weighted tensors that represent features of a target over a specified period.

Career Highlights

Daisuke Fukuda is currently employed at Fujitsu Corporation, where he applies his expertise in machine learning to develop cutting-edge technologies. His innovative approaches have positioned him as a key figure in the advancement of data-driven solutions.

Collaborations

Fukuda has collaborated with notable coworkers, including Tetsuyoshi Shiota and Shunichi Watanabe. Their combined efforts contribute to the ongoing research and development in the field of machine learning.

Conclusion

Daisuke Fukuda's work in machine learning exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing data analysis methods, making significant strides in the industry.

Profile summary based on public USPTO records.
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