Iruma, Japan

Yoshihiro Kuwabara


Average Co-Inventor Count = 12.0

ph-index = 1

Forward Citations = 47(Granted Patents)


Company Filing History:


Years Active: 1996

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1 patent (USPTO):Explore Patents

Title: Innovations of Yoshihiro Kuwabara

Introduction

Yoshihiro Kuwabara is a notable inventor based in Iruma, Japan. He is recognized for his contributions to the field of neuro-computing, particularly through his innovative patent that enhances the execution of controlling algorithms. His work has implications for various applications in artificial intelligence and machine learning.

Latest Patents

Kuwabara holds a patent for a "Neuro-computer system for executing a plurality of controlling algorithms." This general neuro-computer and system is capable of executing multiple learning algorithms, achieving an instruction execution speed comparable to that of a hard-wired system. The design of the neuro-computer includes a neuron array with numerous neurons, a control storage unit for microinstructions, a parameter register, control logic, and global memory. A host computer serves as a user interface, inputting essential information for the learning and execution processes, including learning algorithms, neural network architecture, and input signals. This information is transferred via SCSI to the neuro-computer to perform desired neural network operations.

Career Highlights

Throughout his career, Yoshihiro Kuwabara has worked with prominent companies such as Hitachi, Ltd. and Hitachi Microcomputer System, Ltd. His experience in these organizations has contributed significantly to his expertise in neuro-computing technologies.

Collaborations

Kuwabara has collaborated with notable colleagues, including Yuji Sato and Katsunari Shibata. Their joint efforts have further advanced the field of neuro-computing and contributed to the development of innovative technologies.

Conclusion

Yoshihiro Kuwabara's work in neuro-computing exemplifies the intersection of innovation and technology. His patent and career achievements highlight his significant contributions to the field, paving the way for future advancements in artificial intelligence and machine learning.

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