Company Filing History:
Years Active: 2024
Title: Sue Yi Chew: Innovator in Machine Learning Content Selection
Introduction
Sue Yi Chew is a prominent inventor based in Daly City, California. She has made significant contributions to the field of machine learning, particularly in the area of content selection. With a focus on balancing the strengths of machine learning and statistical models, her work has the potential to enhance the accuracy and efficiency of content distribution.
Latest Patents
Sue Yi Chew holds 1 patent titled "Assessing accuracy of a machine learning model." This innovative patent addresses the challenge of balancing content distribution between a machine learning model and a statistical model. The invention involves a server that receives requests for content items and assigns these requests to different groups. The server utilizes a machine learning model for one group and a statistical model for the other, allowing for a comparative analysis of performance. The audience share for the machine learning model is adjusted based on its performance relative to the statistical model, ensuring optimal content selection.
Career Highlights
Sue Yi Chew is currently employed at Google Inc., where she continues to push the boundaries of technology and innovation. Her work at Google has allowed her to collaborate with some of the brightest minds in the industry, contributing to advancements in machine learning and artificial intelligence.
Collaborations
Some of her notable coworkers include Deepak Ramamurthi Sivaramapuram Chandrasekaran and Bo Fu. Their collaborative efforts have further enriched the research and development environment at Google, fostering innovation and creativity.
Conclusion
Sue Yi Chew is a trailblazer in the field of machine learning, with her patent offering valuable insights into content selection methodologies. Her contributions at Google Inc. and her collaborations with esteemed colleagues highlight her commitment to advancing technology. Her work exemplifies the impact of innovative thinking in the tech industry.