This inventor holds 2 USPTO granted patents. Top assignees: Kddi Research, Inc., University of Illinois. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2024-2026
Title: Mori Kurokawa: Innovator in Transfer Learning Technology
Introduction
Mori Kurokawa is a prominent inventor based in Fujimino, Japan. He has made significant contributions to the field of information processing, particularly in the area of transfer learning. His innovative approach aims to enhance the learning capabilities of neural networks while minimizing the risk of catastrophic forgetting.
Latest Patents
Kurokawa holds a patent for a method and information processing apparatus that performs transfer learning while suppressing the occurrence of catastrophic forgetting. This patent outlines a method executed by an information processing apparatus to enable a neural network to learn a task corresponding to a learning set. The method involves determining the importance degree of various units in the task and identifying dissimilar tasks across multiple layers. By suppressing the updating of weight parameters based on the importance degrees of these dissimilar tasks, Kurokawa's invention enhances the efficiency of neural network learning.
Career Highlights
Throughout his career, Mori Kurokawa has worked with notable organizations, including KDDI Research, Inc. and the University of Illinois. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research in information processing.
Collaborations
Kurokawa has collaborated with esteemed colleagues such as Tatsuya Konishi and Bing Liu. These partnerships have further enriched his research and development efforts, leading to advancements in transfer learning technologies.
Conclusion
Mori Kurokawa's innovative work in transfer learning has positioned him as a key figure in the field of information processing. His patent and collaborations reflect his commitment to advancing technology and improving neural network learning processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile