Redmond, WA, United States of America

Gyeongin Yu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Gyeongin YU: Pioneering Innovations in Machine Learning

Introduction

Gyeongin YU is an inventive mind located in Redmond, Washington, known for his contributions to the field of machine learning. With a focus on enhancing the adaptability of classical machine learning models to neural networks, YU has made significant strides in the tech industry. His innovative approach aims to streamline the processes involved in machine learning integration, thereby pushing the boundaries of artificial intelligence.

Latest Patents

Gyeongin YU holds a patent for a "Neural Adapter for Classical Machine Learning (ML) Models." This patented technology offers solutions for adapting classical ML models to neural networks (NNs). The process includes receiving an ML pipeline with several operators, determining operator dependencies, and connecting recognized operators to selected NN modules from a translation dictionary. The translated neural network is then wired according to the established dependencies. This technology not only facilitates the translation of operators but also incorporates mechanisms for further tuning and optimizing the neural network through backpropagation.

Career Highlights

Currently, Gyeongin YU works at Microsoft Technology Licensing, LLC, where he applies his expertise in developing advanced machine learning solutions. His innovative inventions have positioned him as a valuable asset in the evolving landscape of artificial intelligence. YU's commitment to improvement and excellence in technology is evident in his work and contributions to the company.

Collaborations

In his endeavors, Gyeongin YU collaborates with notable colleagues such as Matteo Interlandi and Byung-Gon Chun, who are also engaged in advancing technological innovation. These partnerships foster a dynamic environment conducive to brainstorming and refining cutting-edge solutions in the realm of machine learning.

Conclusion

Gyeongin YU exemplifies the spirit of innovation in technology through his work on neural network adaptations for classical machine learning models. With a patent that highlights his contributions to the field, he continues to influence the future of machine learning by exploring new approaches to integrating artificial intelligence. As he collaborates with talented professionals at Microsoft Technology Licensing, YU is set to remain at the forefront of technological advancements in the coming years.

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