Company Filing History:
Years Active: 1983-1993
Title: Innovations by Yoshihide Sugiura
Introduction
Yoshihide Sugiura is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of neural computing, holding a total of 5 patents. His work focuses on advanced neuron architectures and error absorption systems in neuron computers.
Latest Patents
One of his latest patents is the "Neuron architecture," which describes a method where an input analog data is applied to multiple neuron units in a time division manner. The analog input data is multiplied by digital weight data that can be adjusted based on the interconnection data between units. The products of the time division analog input data and the digital weight data are summed in an integrator. This system allows for simultaneous output of the current and previous sums of products, facilitating a pipeline output process. The architecture enables the use of one layer of neuron units repeatedly by feeding back outputs, allowing the neuron system to function as a layered structure.
Another significant patent is the "Error absorbing system in a neuron computer." This system is designed to absorb errors through weight correction in a neuron computer that receives analog input signals. It operates by performing a sum-of-the-products calculation and outputting an analog signal. The system includes a dummy node that produces a fixed voltage during test modes, allowing for error detection and weight correction based on offset voltages in the neuron processors.
Career Highlights
Yoshihide Sugiura is currently employed at Fujitsu Corporation, where he continues to innovate in the field of neural computing. His work has been instrumental in advancing the capabilities of neuron systems and improving their accuracy and efficiency.
Collaborations
He has collaborated with notable colleagues such as Hiroyuki Tsuzuki and Takashi Kawasaki, contributing to various projects and research initiatives within the company.
Conclusion
Yoshihide Sugiura's contributions to neural computing through his innovative patents have positioned him as a key figure in the field. His work continues to influence advancements in technology and computing systems.