Suwon-si, South Korea

Uiseok Song

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.3

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Uiseok Song: Innovator in Neural Network and Cosmic Ray Fault Protection Technologies

Introduction

Uiseok Song is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the fields of neural networks and fault protection technologies. With a total of 3 patents to his name, his work is recognized for its innovative approaches and practical applications.

Latest Patents

Uiseok Song's latest patents include an "Apparatus and method with neural network model reconfiguration." This processor-implemented method calculates required resource information for each layer of a neural network model. It determines whether a layer is a reconfiguration target based on resource and hardware information. The method selects the best reconfiguration layer based on performance metrics and implements it in the neural network model.

Another notable patent is the "Method and apparatus with cosmic ray fault protection." This invention involves obtaining cosmic ray information indicating cosmic ray events. It determines a soft error mitigation policy based on this information and performs mitigation actions to address soft errors related to cosmic ray events.

Career Highlights

Uiseok Song is currently employed at Samsung Electronics Co., Ltd., where he continues to innovate and develop cutting-edge technologies. His work at Samsung has positioned him as a key player in advancing technology in his field.

Collaborations

Uiseok has collaborated with talented coworkers, including Jaehyung Ahn and Seongbeom Kim. Their teamwork has contributed to the successful development of innovative solutions in their respective areas of expertise.

Conclusion

Uiseok Song's contributions to neural network technologies and cosmic ray fault protection demonstrate his commitment to innovation. His patents reflect a deep understanding of complex systems and a drive to enhance technological capabilities. His work continues to influence the industry and inspire future advancements.

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