This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mitsubishi Electric Corporation. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Shinichiro Nishiuma
Introduction
Shinichiro Nishiuma is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of learning systems through his innovative patent. His work focuses on enhancing the efficiency of diagnosis models using machine learning techniques.
Latest Patents
Shinichiro Nishiuma holds a patent for a learning system, learning method, and recording medium. This system generates a diagnosis model through machine learning using learning data. It diagnoses target data based on the diagnosis model. The feedback processor outputs incorrect diagnosis data when it acquires user input indicating that a diagnosis result is incorrect. It also corrects the incorrect diagnosis data based on the user input. The similarity determiner determines the similarity of the incorrect diagnosis data output by the feedback processor before being corrected. The feedback processor performs the feedback process on similarity data with at least a specific level of similarity. The learner performs relearning using data that includes the incorrect diagnosis data corrected in the feedback process. This innovative approach aims to improve the accuracy of diagnosis results.
Career Highlights
Shinichiro Nishiuma is associated with Mitsubishi Electric Corporation, where he continues to develop and refine his innovative ideas. His work has garnered attention for its potential applications in various fields, particularly in education and technology.
Collaborations
Shinichiro collaborates with Ryo Kashiwagi, contributing to the advancement of their projects and enhancing the overall impact of their innovations.
Conclusion
Shinichiro Nishiuma's contributions to the field of learning systems exemplify the power of innovation in technology. His patent reflects a commitment to improving diagnostic processes through machine learning. His work continues to inspire advancements in educational technology and beyond.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
