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For the Inventor, By the Inventor

Kawasaki, Japan

Izumi Nitta

USPTO Granted Patents = 17 

Average Co-Inventor Count = 2.1

ph-index = 5

Forward Citations = 99(Granted Patents)


Location History:

  • Kanagawa, JP (1998)
  • Kawasaki, JP (2002 - 2023)

Company Filing History:

goldMedal17 out of 39,244 
 
Fujitsu Corporation
 patents

Years Active: 1998-2023

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17 patents (USPTO):Explore Patents
1. 11836580 - Machine learning method (2023-12-05),
2. 11829867 - Computer-readable recording medium and learning data generation method (2023-11-28),
3. 8527926 - Indicator calculation method and apparatus (2013-09-03),
4. 8271921 - Automatic circuit design technique using pareto optimal solutions (2012-09-18),
5. 8181141 - Dummy rule generating apparatus (2012-05-15),
6. 8108814 - Dummy metal insertion processing method and apparatus (2012-01-31),
7. 8024685 - Delay analysis support apparatus, delay analysis support method and computer product (2011-09-20),
8. 8024673 - Layout evaluation apparatus and method (2011-09-20),
9. 7944446 - Device and method for displaying delay analysis results, and computer product (2011-05-17),
10. 7934182 - Method and apparatus for supporting delay analysis, and computer product (2011-04-26),
11. 7870533 - Delay analysis apparatus, delay analysis method and computer product (2011-01-11),
12. 7681161 - Circuit delay analyzer, circuit delay analyzing method, and computer product (2010-03-16),
13. 7653889 - Method and apparatus for repeat execution of delay analysis in circuit design (2010-01-26),
14. 7516432 - Circuit delay analyzing method, circuit delay analyzing apparatus, and computer product (2009-04-07),
15. 7320118 - Delay analysis device, delay analysis method, and computer product (2008-01-15),

Title: The Innovative Mind of Izumi Nitta

Introduction

Izumi Nitta is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the field of machine learning, holding a total of 17 patents. His work focuses on developing advanced methods that enhance data processing and analysis.

Latest Patents

One of Nitta's latest patents is a machine learning method that involves acquiring data, including attendance records of employees and information about their leave of absence. This method generates tensors based on 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 learning data that multi-dimensionally represents features of a target over a predetermined period. The device identifies specific periods based on conditions and generates weighted tensors accordingly.

Career Highlights

Izumi Nitta is currently employed at Fujitsu Corporation, where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the field of machine learning and data analysis.

Collaborations

Nitta collaborates with talented individuals such as Toshiyuki Shibuya and Katsumi Homma, who contribute to his innovative projects.

Conclusion

Izumi Nitta's contributions to machine learning and data processing exemplify the spirit of innovation. His patents reflect a deep understanding of technology and its applications in the workplace.

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