This inventor holds 3 USPTO granted patents and 5 published patent applications. Top assignee: Fujitsu Corporation. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Shunichi Watanabe: Innovator in Machine Learning
Introduction
Shunichi Watanabe is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the field of machine learning, holding a total of 3 patents. His work focuses on innovative methods that enhance data processing and analysis.
Latest Patents
One of Watanabe's latest patents is a machine learning method that involves acquiring data, including attendance records of employees and information about their leave of absence. This method generates tensors based on attendance records and modifies parameters to create a model through machine learning. Another notable patent is a computer-readable recording medium and learning data generation method. This invention allows a learning device to receive learning data that represents the source of a tensor, identifying specific periods based on pre-set conditions and generating weighted tensors accordingly.
Career Highlights
Watanabe is currently employed at Fujitsu Corporation, where he continues to develop cutting-edge technologies in machine learning. His work has been instrumental in advancing the capabilities of learning devices and data analysis methods.
Collaborations
Watanabe collaborates with notable colleagues, including Tetsuyoshi Shiota and Satoko Iwakura. Their combined expertise contributes to the innovative projects at Fujitsu Corporation.
Conclusion
Shunichi Watanabe is a key figure in the realm of machine learning, with a focus on practical applications that improve data handling. His patents reflect a commitment to innovation and excellence in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
