This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Oki Electric Industry Co., Ltd.. Active years: 2017-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2022
Title: Motoko Kagaya: Innovator in Neural Network Technologies
Introduction
Motoko Kagaya is a prominent inventor based in Tokyo, Japan. She has made significant contributions to the field of neural networks, holding a total of 3 patents. Her work focuses on enhancing the efficiency and effectiveness of neural network systems.
Latest Patents
Motoko's latest patents include a neural network reduction device, a neural network reduction method, and a storage medium. The neural network reduction device is designed to optimize neural networks by reducing redundant channels and correcting weight parameters. This innovation aims to improve the performance of convolutional layers in neural networks. Additionally, her tracking apparatus patent involves a sophisticated system for tracking target objects using both image sensors and active-type sensors, ensuring accurate information correction and distribution analysis.
Career Highlights
Motoko Kagaya is currently employed at Oki Electric Industry Co., Ltd. Her role at the company allows her to apply her expertise in neural networks and contribute to cutting-edge technological advancements.
Collaborations
Motoko has collaborated with notable colleagues, including Kurato Maeno and Kohei Yamamoto. These partnerships have fostered a creative environment that encourages innovation and the development of new technologies.
Conclusion
Motoko Kagaya's work in neural networks exemplifies her commitment to advancing technology through innovation. Her patents reflect her expertise and dedication to improving the efficiency of neural network systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile