logo

For the Inventor, By the Inventor

Tokyo, Japan

Yasushi Negishi

This inventor holds 25 USPTO granted patents and 6 published patent applications, plus 1 CIPO patent, primarily in Artificial Intelligence. Top assignee: International Business Machines Corporation. Active years: 1995-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yasushi Negishi. Retrieved from https://idiyas.com/inventor/yasushi-negishi

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

USPTO Granted Patents = 25 

% Patents Active = 64.0


Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 80(Granted Patents)


Location History:

  • Kanagawa, JP (2013 - 2015)
  • Kanagawa-ken, JP (2016)
  • Machida, JP (2003 - 2022)
  • Tokyo, JP (1995 - 2024)

Company Filing History:

goldMedal25 out of 166,409 
 
International Business Machines Corporation
 patents

Years Active: 1995-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Neural Network
Memory Conservation
Inference Performance
Artificial Intelligence
Multi-GPU
Real-Time Resource Reduction
Data Processing
Genomic Data
Parallel Training
Graph Rewriting
Object Identification
Packet Communication
25 patents (USPTO):Explore Patents
1. 12645941 - Data swapping for neural network memory conservation (2026-06-02),
2. 12572339 - Accelerate inference performance on artificial intelligence accelerators (2026-03-10),
3. 11880762 - Choosing execution mode of a neural network based on total memory usage (2024-01-23),
4. 11461637 - Real-time resource usage reduction in artificial neural networks (2022-10-04),
5. 11362670 - ReLU compression to reduce GPU memory (2022-06-14),
6. 11176096 - File system for genomic data (2021-11-16),
7. 11164079 - Multi-GPU deep learning using CPUs (2021-11-02),
8. 10984014 - Integrating multiple distributed data processing servers with different data partitioning and routing mechanisms, resource sharing policies and lifecycles into a single process (2021-04-20),
9. 10949746 - Efficient parallel training of a network model on multiple graphics processing units (2021-03-16),
10. 10884755 - Graph rewriting for large model support using categorized topological sort (2021-01-05),
11. 10782897 - Memory reduction for neural networks with fixed structures (2020-09-22),
12. 10613911 - Integrating multiple distributed data processing servers with different data partitioning and routing mechanisms, resource sharing policies and lifecycles into a single process (2020-04-07),
13. 10558914 - Real-time resource usage reduction in artificial neural networks (2020-02-11),
14. 10453167 - Estimating performance of GPU application for different GPU-link performance ratio (2019-10-22),
15. 10268951 - Real-time resource usage reduction in artificial neural networks (2019-04-23),

Title: Inventor Yasushi Negishi

Introduction: Yasushi Negishi is a renowned inventor based in Tokyo, Japan, known for his groundbreaking contributions to various technological fields.

Latest Patents: Yasushi Negishi holds several patents in the areas of robotics, artificial intelligence, and renewable energy technologies, showcasing his innovative mindset and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Negishi has worked with leading research institutions and universities to develop cutting-edge solutions that have revolutionized industries worldwide.

Collaborations: Throughout his career, Yasushi Negishi has collaborated with top companies, such as tech giants and automotive manufacturers, to bring his inventions to the market and make a lasting impact on society.

Conclusion: Yasushi Negishi's passion for innovation and his dedication to pushing the boundaries of technology have solidified his reputation as a visionary inventor in the global innovation landscape.

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…