Company Filing History:
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Years Active: 2020-2021
Title: Taesup Moon: Innovator in Denoising Technology
Introduction
Taesup Moon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of technology, particularly in the area of denoising devices and neural network training methods. With a total of 2 patents, his work has garnered attention for its innovative approaches to data processing.
Latest Patents
Taesup Moon's latest patents include a denoising device and a neural network training method. The denoising device is designed to process corrupted noise data and reconstruct it to its original source data. It features a deriving part that estimates loss during reconstruction based on predefined noise occurrence probabilities. Additionally, it includes a processor that trains a learning model using parameters related to the reconstruction process. The output part of the device provides reconstructed data through a denoiser formed from the training results. His second patent focuses on a neural network training method that utilizes sequential training data. This method involves selecting a reference hidden node and training the neural network while excluding this node from the remaining hidden nodes. The connections between hidden nodes across different time intervals are also considered in this innovative approach.
Career Highlights
Throughout his career, Taesup Moon has worked with notable organizations such as the Daegu Gyeongbuk Institute of Science and Technology and Samsung Electronics Co., Ltd. His experience in these esteemed institutions has allowed him to refine his skills and contribute to groundbreaking advancements in technology.
Collaborations
Taesup Moon has collaborated with talented individuals in his field, including Yeha Lee and Heeyoul Choi. These partnerships have fostered a creative environment that encourages innovation and the development of new ideas.
Conclusion
Taesup Moon's contributions to the field of technology, particularly in denoising devices and neural network training methods, highlight his role as a significant inventor. His innovative patents and collaborations reflect his commitment to advancing technology and improving data processing techniques.