Company Filing History:
Years Active: 1993
Title: **The Innovations of Hideichi Endoh: Pioneering Error Absorption in Neuron Computers**
Introduction
Hideichi Endoh, a distinguished inventor based in Kawasaki, Japan, has made significant strides in the field of neural computing. His innovative approach focuses on creating systems that enhance the reliability and efficiency of neuron computers, a critical component in advanced technological applications.
Latest Patents
Endoh holds a notable patent for an "Error Absorbing System in a Neuron Computer." This patent presents a sophisticated error-absorbing mechanism that effectively manages errors through weight correction in neuron computers. The system operates by receiving analog input signals through a first analog bus in a time-divisional manner, conducting sum-of-the-products operations, and subsequently outputting an analog signal to a second analog bus. A key feature of this invention is the integration of a dummy node that generates a fixed voltage during test modes, allowing for precise error measurement and correction.
Career Highlights
Endoh is currently employed at Fujitsu Corporation, where he leverages his expertise in neural network technologies. His innovative contributions to the field reflect a commitment to advancing computational efficiency and accuracy. With a focus on enabling more reliable neural processors, his work supports the broader objective of developing smarter computing systems.
Collaborations
Throughout his career, Endoh has collaborated with esteemed colleagues such as Hideki Yoshizawa and Hiroki Iciki. Their collective efforts underscore a shared dedication to driving innovation in the field of neural computing, fostering an environment that encourages exploration and advancement in technological solutions.
Conclusion
In summary, Hideichi Endoh stands out as a key inventor in the realm of neural computing, with his patented error-absorbing system marking a pivotal development in this area. His work at Fujitsu Corporation, along with the support of his colleagues, continues to push the boundaries of what is achievable in technology, paving the way for future innovations in artificial intelligence and neural networks.