David Sung

Title: David Sung: Innovator in Machine Learning and Patent Holder

Introduction

David Sung, an accomplished inventor based in Sunnyvale, CA, has made significant strides in the realm of machine learning. Holding a patent for his unique innovation, he has contributed to the field of technology while working at Microsoft Technology Licensing, LLC. His work is characterized by a blend of creativity and technical skill, culminating in a solution that optimizes interactions within machine learning models.

Latest Patents

David Sung's notable patent, titled "Recommending edges via importance aware machine learned model," presents a groundbreaking approach to ranking entities through various combinations of node types and edge types. The invention provides a single machine learned model that calibrates scores from Edge-FPR models onto a unified scale. Additionally, it introduces a multiplicative factor that accounts for the true importance of different edge types, based on findings from counterfactual experimentation. This innovative solution focuses on optimizing interactions across diverse node and edge combinations, making significant impacts in the efficiency of machine learning applications.

Career Highlights

As a member of Microsoft Technology Licensing, LLC, David has been able to leverage his expertise in machine learning whilst collaborating with other talented professionals. His work environment has allowed him to explore new technologies and develop solutions that address real-world challenges, enhancing the capabilities of machine learning systems.

Collaborations

Throughout his career, David has collaborated with notable peers such as Parag Agrawal and Ankan Saha. These relationships demonstrate his commitment to teamwork and innovation within the fast-paced tech industry, fostering an environment where cutting-edge ideas can flourish.

Conclusion

David Sung represents a significant figure in the technological landscape of machine learning. With his patented invention, he showcases the potential of utilizing machine learning models to improve the ranking and interaction processes across various data types. As technology continues to evolve, inventors like David will surely play a crucial role in advancing the field.