This inventor holds 6 USPTO granted patents. Top assignee: Ricoh Company, Ltd.. Active years: 1991-1996.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1991-1996
Title: The Innovations of Sumio Watanabe
Introduction
Sumio Watanabe is a prominent inventor based in Yokohama, Japan. He has made significant contributions to the field of neural networks, holding a total of 6 patents. His work focuses on advancing the understanding and application of neural network learning methods.
Latest Patents
Watanabe's latest patents include a neural network learning apparatus and a learning method. This method involves finding a linear operator that meets specific conditions suited to the function for learning through linear prediction. The process operates on teaching patterns approximated by a linear sum of the function, determining results from this operation. Additionally, it replaces the learning of a neural network with a linear predictive problem based on the initial operation results. The method also includes determining weights from the hidden layer to the output layer to minimize errors between output data and teaching patterns. Another notable patent is a neural network learning system that infers an input-output relationship. This system features a probability density part that determines a probability density on a sum space of input and output spaces from given samples. The inference part then infers a probability density function based on this probability density, allowing for the inference of input-output relationships.
Career Highlights
Sumio Watanabe is currently employed at Ricoh Company, Ltd., where he continues to innovate in the field of neural networks. His work has been instrumental in developing advanced learning systems that enhance the capabilities of artificial intelligence.
Collaborations
Watanabe collaborates with Kenji Fukumizu, a fellow researcher, to further explore the potential of neural networks and their applications in various fields.
Conclusion
Sumio Watanabe's contributions to neural network technology are noteworthy and continue to influence the landscape of artificial intelligence. His innovative patents and ongoing work at Ricoh Company, Ltd. highlight his commitment to advancing this critical area of research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
