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For the Inventor, By the Inventor

Tokyo, Japan

Yasunao Katayama

This inventor holds 54 USPTO granted patents and 5 published patent applications, plus 2 CIPO patents and 1 EPO patent, primarily in Neural Network Processing (CPC class G06F). Top assignees: International Business Machines Corporation, Lenovo (Singapore) Pte. Ltd.. Active years: 1995-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yasunao Katayama. Retrieved from https://idiyas.com/inventor/yasunao-katayama

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

USPTO Granted Patents = 54 

% Patents Active = 50.0



Average Co-Inventor Count = 2.0

ph-index = 10

Forward Citations = 484(Granted Patents)

Forward Citations (Not Self Cited) = 468(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Sagamihara, JP (1995 - 1999)
  • Hachiohji, JP (2001 - 2004)
  • Hachiouji, JP (2002 - 2011)
  • Yamato, JP (2013)
  • Kanagawa, JP (1999 - 2015)
  • Kanagawa-ken, JP (2012 - 2015)
  • Kawasaki, JP (2014 - 2018)
  • Tokyo, JP (2009 - 2023)

Company Filing History:

goldMedal53 out of 166,351 
 
International Business Machines Corporation
 patents
silverMedal1 out of 4,442 
 
Lenovo (Singapore) Pte. Ltd.
 patents

Years Active: 1995-2023

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Areas of Expertise:
Neural Network
Virtual Neurons
Memory Access
Wireless Communication
Signal Compensation
Packet Communication
Optical Interconnect
Base Station Control
Data Transmission
FFT Logic Circuit
Coupled Quantum Well Devices
Decoding Method
54 patents (USPTO):Explore Patents
1. 11816552 - Dynamically reconfigurable networked virtual neurons for neural network processing (2023-11-14),
2. 10839289 - Neural network processing with von-Neumann cores (2020-11-17),
3. 10585818 - Low overhead exclusive control for shared memory objects (2020-03-10),
4. 10579550 - Low overhead exclusive control for shared memory objects (2020-03-03),
5. 10223032 - Queue control for shared memory access (2019-03-05),
6. 10209925 - Queue control for shared memory access (2019-02-19),
7. 10204050 - Memory-side caching for shared memory objects (2019-02-12),
8. 10169238 - Memory access for exactly-once messaging (2019-01-01),
9. 10082974 - Information processing system, wireless communication apparatus, method and program (2018-09-25),
10. 9996290 - Information processing system, wireless communication apparatus, method and program (2018-06-12),
11. 9910789 - Electrical and optical memory access (2018-03-06),
12. 9860838 - Transmitting device, receiving device, communication device, programs, transmission method, and receiving method for wireless communication of continuous data in the form of packets (2018-01-02),
13. 9794877 - Transmitting device, receiving device, communication device, programs, transmission method, and receiving method for wireless communication of continuous data in the form of packets (2017-10-17),
14. 9696538 - Optical interconnect device, information processing device and data transmission method (2017-07-04),
15. 9300436 - Signal compensation in high-speed communication (2016-03-29),

Title: Yasunao Katayama: Innovating Neural Network Processing

Introduction

Yasunao Katayama, an accomplished inventor based in Tokyo, Japan, has made significant contributions to the field of neural network processing. Holding an impressive total of 54 patents, his work continues to push the boundaries of technology in artificial intelligence.

Latest Patents

Katayama's latest innovations include groundbreaking patents such as "Dynamically Reconfigurable Networked Virtual Neurons for Neural Network Processing." This patent outlines methods and systems for configuring a physical network topology that comprises hardware nodes, where one node is designated as a master and the others as slave nodes. The master node configures virtual neurons at each hardware node to create a neural network with a specific topology, allowing for the execution of complex neural network processing functions.

Another notable patent is "Neural Network Processing with Von-Neumann Cores." This invention features a neural network processing system that connects source and destination nodes, utilizing von-Neumann cores. It involves the management of weight data across a specialized memory structure, enabling efficient remote memory write operations that enhance the performance of neural networks.

Career Highlights

Throughout his career, Yasunao Katayama has worked with renowned technology companies such as IBM and Lenovo Enterprise Solutions (Singapore) Pte. Ltd. His extensive experience in these organizations has allowed him to refine his expertise in neural networks and computing technologies, paving the way for his numerous inventive contributions.

Collaborations

In his journey as an inventor, Katayama has collaborated with talented coworkers, including Daiju Nakano and Kohji Takano. Their collective knowledge and creativity have fostered an innovative environment, leading to the successful development of many advanced technologies and patents in the field.

Conclusion

Yasunao Katayama's innovative spirit and commitment to advancing neural network technology position him as a key figure in the world of artificial intelligence. With his substantial portfolio of patents and a collaborative approach to invention, he continues to inspire and lead the way for future advancements in this dynamic field.

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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