Company Filing History:
Years Active: 2015-2022
Title: Innovations by Shin-Young Ahn: Advancements in Distributed Deep Learning
Introduction
Shin-Young Ahn is an accomplished inventor based in Daejeon, South Korea, known for his impactful work in the field of deep learning and telecommunications. With a portfolio of five patents, Ahn has significantly contributed to the advancement of technology through innovative solutions that enhance the efficiency of distributed deep learning systems.
Latest Patents
One of Ahn's notable patents is a "Parameter server and method for sharing distributed deep learning parameters using the same." This innovative technology provides a systematic approach to initializing and updating global and local weight parameters in deep learning training environments. The method begins with initializing a global weight parameter upon a request from a master process, followed by updates from worker processes that utilize learned local gradient parameters. The system accumulates these gradients and allows for updates to the global weight parameter, calculated based on contributions from multiple worker processes, thereby optimizing deep learning training across distributed networks.
Career Highlights
Shin-Young Ahn is associated with the Electronics and Telecommunications Research Institute (ETRI), a leading institution in South Korea focused on research and development in advanced technologies. His work at ETRI has positioned him as an influential figure in the field, and his patents reflect a deep understanding of both theoretical and practical aspects of deep learning.
Collaborations
Throughout his career, Ahn has collaborated with talented professionals such as Eun-Ji Lim and Yong-Seok Choi, fostering a creative environment that encourages innovation. These collaborations have played a crucial role in developing and refining his patented technologies, showcasing the importance of teamwork in the tech industry.
Conclusion
Shin-Young Ahn’s inventions, particularly in distributed deep learning, demonstrate the transformative potential of technology in the telecommunications sector. With his continuous contributions to this evolving field, Ahn remains a notable figure, paving the way for future innovations that enhance the collaborative capabilities of deep learning systems.