Joel Daniel Young

Title: Joel Daniel Young: Innovator in Machine Learning Technologies

Introduction

Joel Daniel Young is a prominent inventor based in Milpitas, California, recognized for his contributions in the field of machine learning. With a total of eight patents to his name, he has developed technologies that advance data processing and analysis.

Latest Patents

Among his latest innovations is the patent for a "Framework for Managing Features Across Environments." This system is designed to process data efficiently by obtaining a feature configuration and retrieving specific feature values for use in machine learning models. Another notable patent is "Unified Parameter and Feature Access in Machine Learning Models." This invention streamlines the calculation of attributes linked to machine learning models by utilizing value accessors tailored to parameter types.

Career Highlights

Joel has worked with leading technology companies, including Microsoft Technology Licensing and LinkedIn Corporation. His experience in these organizations has significantly influenced his development of practical machine learning applications.

Collaborations

Throughout his career, Joel has collaborated with talented professionals such as Xu Miao and Lijun Tang. These partnerships have enriched his work and contributed to the innovative spirit that defines his inventions.

Conclusion

Joel Daniel Young continues to be a significant figure in technological innovation, pushing the boundaries of machine learning and data processing. His patents reflect his commitment to advancing these fields, showcasing his expertise and creativity in solving complex challenges.