Tokyo, Japan

Tadashi Okumura

This inventor holds 7 USPTO granted patents and 7 published patent applications. Top assignees: Hitachi, Ltd., Oclaro Japan, Inc., Ushio Denki Kabushiki Kaisha. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tadashi Okumura. Retrieved from https://idiyas.com/inventor/tadashi-okumura

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

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 85.7

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016-2026

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7 patents (USPTO):Explore Patents

Title: The Innovations of Tadashi Okumura

Introduction

Tadashi Okumura is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of computing and neural networks, holding a total of 7 patents. His work focuses on enhancing computing performance through innovative methods and systems.

Latest Patents

One of his latest patents is a "Computer system and model training method." This invention provides a computer system for generating a neural network (NN) used for various tasks. It includes a training unit that calculates a weighting factor between a reservoir and an output layer using training data. Additionally, it features a first storage unit that stores node activity information and a second storage unit for model information. When a training execution request for a second task is received after completing the first task, the training unit calculates a weighting factor for the NN used for a third task, updates the model information, and adjusts the node activity information based on the training process of the third task.

Another notable patent is the "Computing system and method," which enhances the computing performance of a system using reservoir computing (RC). This technology includes a computing system that performs computations using a recurrent neural network (RNN) with an input unit, a reservoir unit, and an output unit. The reservoir unit consists of multiple nodes connected in a circular manner, with a weight matrix determining the weights between the nodes. Each node has a g value that designates the nonlinearity of its activation function, which periodically changes direction on the circle.

Career Highlights

Tadashi Okumura has worked with notable companies such as Hitachi, Ltd. and Oclaro Japan, Inc. His experience in these organizations has contributed to his expertise in the field of computing and neural networks.

Collaborations

Throughout his career, Okumura has collaborated with esteemed colleagues, including Sanato Nagata and Masahiko Ando. These partnerships have further enriched his work and innovations in technology.

Conclusion

Tadashi Okumura's contributions to the field of computing and neural networks are significant and impactful. His innovative patents and collaborations highlight his expertise and dedication to advancing technology.

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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