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For the Inventor, By the Inventor

Ohme, Japan

Takashi Yamazaki

This inventor holds 62 USPTO granted patents, primarily in Semiconductor Technology (CPC class 2576). Top assignees: Hitachi, Ltd., Mitsubishi Electric Corporation, Hitachi Vlsi Engineering Corp.. Active years: 1989-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takashi Yamazaki. Retrieved from https://idiyas.com/inventor/takashi-yamazaki-ph7skioo

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

Calculating rank
USPTO Granted Patents = 62

% Patents Active = 74.2

Average Co-Inventor Count = 5.8

ph-index = 14

Forward Citations = 542(Granted Patents)

Forward Citations (Not Self Cited) = 502(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Katsuta, JP (1992 - 1997)
  • Kokubu, JP (2001)
  • Ohme-shi, Tokyo, JP (2003)
  • Ohme, JP (1990 - 2009)
  • Odawara, JP (2007 - 2013)
  • Hiratsuka, JP (2013)
  • Kiyose, JP (2015)
  • Chiyoda-ku, JP (2017)
  • Tokyo, JP (1989 - 2020)

Company Filing History:

goldMedal45 out of 42,760 
 
Hitachi, Ltd.
 patents
silverMedal6 out of 16,686 
 
Mitsubishi Electric Corporation
 patents
bronzeMedal5 out of 182 
 
Hitachi Vlsi Engineering Corp.
 patents
4. 3 out of 336 
 
Hitachi Ulsi Systems Co., Ltd.
 patents
5. 2 out of 2 
 
Johoku Industries, Ltd.
 patents
6. 2 out of 36,790 
 
Nec Corporation
 patents
7. 2 out of 3,781 
 
Renesas Technology Corp.
 patents
8. 1 out of 2,560 
 
Asahi Glass Company, Limited
 patents
9. 4 out of 834,708 
Other
 patents
where one patent can have more than one assignee

Years Active: 1989-2020

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Areas of Expertise:
Neural Network
Data Compression
Signal Processing
Audio Processing
Fluorine Compound
Wind Power Generation
Disk Array
Semiconductor Memory
WDM Network
Optical Ring
Multilayer Circuit Board
Defect Remedying
62 patents (USPTO):Explore Patents
1. 10796223 - Hierarchical neural network apparatus, classifier learning method and discriminating method (2020-10-06),
2. 9735803 - Data compression device and data compression method (2017-08-15),
3. 9553554 - Signal processing device (2017-01-24),
4. 9552826 - Frequency characteristic modification device (2017-01-24),
5. 9299362 - Audio signal processing device (2016-03-29),
6. 9087996 - Fluorine-containing aromatic compound and production method thereof (2015-07-21),
7. 9065370 - Wind power generation device (2015-06-23),
8. 8489937 - Storage subsystem and method for controlling the same (2013-07-16),
9. 8402211 - Disk array apparatus and disk array apparatus controlling method (2013-03-19),
10. 8180071 - Pseudo deep bass generating device (2012-05-15),
11. 7499340 - Semiconductor memory device and defect remedying method thereof (2009-03-03),
12. 7373456 - Disk array apparatus and disk array apparatus controlling method (2008-05-13),
13. 7345929 - Semiconductor memory device and defect remedying method thereof (2008-03-18),
14. 7281088 - Disk array apparatus and disk array apparatus controlling method (2007-10-09),
15. 7203101 - Semiconductor memory device and defect remedying method thereof (2007-04-10),

Introduction

Takashi Yamazaki, hailing from Ohme, Japan, is a prominent inventor with a remarkable portfolio of 62 patents. His work primarily focuses on advancements in neural networks and data compression technologies, contributing significantly to the fields of artificial intelligence and image processing.

Latest Patents

Among his latest contributions are groundbreaking patents, such as the "Hierarchical neural network apparatus, classifier learning method and discriminating method." This invention revolves around generating loosely coupled parts by forming couplings between partial nodes in a hierarchical neural network based on a check matrix of an error-correcting code. Additionally, he developed a "Data compression device and data compression method," where a dimensional compression unit multiplies a feature quantity extracted from an image with a check matrix of an error-correcting code. This innovative approach efficiently compresses images, enhancing storage and transmission capabilities.

Career Highlights

Throughout his career, Yamazaki has been associated with leading technology companies such as Hitachi, Ltd. and Mitsubishi Electric Corporation. His work in these organizations has not only influenced their technological advancements but also established him as a key player in the innovation landscape. His commitment to research and development has paved the way for numerous applications in the realm of technology.

Collaborations

Yamazaki has collaborated with esteemed colleagues, including Kazuyoshi Oshima and Tetsurou Matsumoto. These partnerships have fostered an environment of innovation and have allowed for the cross-pollination of ideas, leading to significant advancements in their respective fields. Their collective efforts underscore the importance of collaboration in the pursuit of technological breakthroughs.

Conclusion

In conclusion, Takashi Yamazaki's contributions through his patents reflect a deep commitment to innovation and the advancement of technology. His work on neural networks and data compression not only addresses current technological challenges but also sets the stage for future advancements. As he continues to explore new frontiers, the impact of his inventions will undoubtedly resonate within the technology community for years to come.

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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