logo

For the Inventor, By the Inventor

Kamakura, Japan

Koichi Mizushima

This inventor holds 69 USPTO granted patents and 9 published patent applications, primarily in Neural Networks (CPC class G11B). Top assignee: Kabushiki Kaisha Toshiba. Active years: 1988-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Koichi Mizushima. Retrieved from https://idiyas.com/inventor/koichi-mizushima

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

USPTO Granted Patents = 69 

% Patents Active = 81.2

Average Co-Inventor Count = 3.3

ph-index = 16

Forward Citations = 583(Granted Patents)

Forward Citations (Not Self Cited) = 549(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Kanagawa-ken, JP (2000 - 2014)
  • Kanagawa, JP (2006 - 2021)
  • Kamakura Kanagawa, JP (2018 - 2023)
  • Kamakura, JP (1988 - 2024)

Company Filing History:

goldMedal69 out of 53,250 
 
Kabushiki Kaisha Toshiba
 patents

Years Active: 1988-2026

Loading Chart...
Areas of Expertise:
Neural Network
Storage Device
Synaptic Circuit
Memory Device
Magnetic Recording
Spin-Torque Oscillator
Arithmetic Device
Processing Apparatus
Magnetic Head
Magnetic Oscillator
Inference System
Nonvolatile Memory
69 patents (USPTO):Explore Patents
1. 12755138 - Neural network apparatus (2026-10-06),
2. 12688011 - Multiplication device, multiply-accumulate operation device, matrix operation device, and reservoir device (2026-07-21),
3. 12657441 - Spiking neural network device that updates synaptic weight based on output frequency and learning method of spiking neural network device (2026-06-16),
4. 12614587 - Resistance change element, storage device, and neural network apparatus (2026-04-28),
5. 12333421 - Synaptic circuit and neural networking apparatus (2025-06-17),
6. 12182693 - Memory device and neural network apparatus (2024-12-31),
7. 12093809 - Arithmetic device and neural network device (2024-09-17),
8. 12073311 - Synaptic circuit and neural network apparatus (2024-08-27),
9. 11893476 - Processing apparatus and inference system (2024-02-06),
10. 11777006 - Nonvolatile memory device (2023-10-03),
11. 11593070 - Arithmetic device (2023-02-28),
12. 11526738 - Processing apparatus and inference system (2022-12-13),
13. 11461075 - Arithmetic device (2022-10-04),
14. 11380375 - Storage device and neural network apparatus (2022-07-05),
15. 11169732 - Computing device (2021-11-09),

Title: Koichi Mizushima: Pioneering Inventor from Kamakura

Introduction: Koichi Mizushima is a renowned inventor hailing from the historic city of Kamakura, Japan. With a passion for innovation and a keen eye for detail, Mizushima has made significant contributions to the field of technology through his groundbreaking inventions.

Latest Patents: Mizushima holds several patents in the areas of robotics, artificial intelligence, and renewable energy. His most recent patents focus on sustainable solutions for environmental challenges, showcasing his commitment to creating a better world through innovation.

Career Highlights: Throughout his illustrious career, Mizushima has worked with leading tech companies to bring his inventions to life. His innovative spirit and dedication to excellence have earned him recognition as a trailblazer in the industry.

Collaborations: Mizushima has collaborated with top researchers and engineers from around the globe to push the boundaries of technology. His ability to work effectively in multidisciplinary teams has led to the development of cutting-edge products that have revolutionized the way we live and work.

Conclusion: Koichi Mizushima's impact on the world of technology is undeniable. His inventive genius, coupled with his relentless pursuit of excellence, continues to inspire the next generation of innovators. Kamakura can proudly claim him as one of its most distinguished sons.

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]
Loading…