Company Filing History:
Years Active: 2024-2025
Title: Amy Richardson: Innovator in Machine Learning
Introduction
Amy Richardson is a prominent inventor based in Santa Cruz, CA. She has made significant contributions to the field of machine learning, particularly in developing innovative methods and systems that enhance the performance of machine learning models. With a total of 2 patents, her work is recognized for its impact on the industry.
Latest Patents
Amy's latest patents focus on "Contribution incrementality machine learning models." These patents disclose methods, systems, and computer programs encoded on a computer storage medium for training and using machine learning models. The methods include creating a model that represents relationships between user attributes, content exposures, and performance levels for a target action. This is achieved using organic exposure data that specifies one or more organic exposures experienced by a particular user over a specified time prior to the performance of a target action. Additionally, third-party exposure data specifies third-party exposures of a specified type of digital component to the particular user over the same time period. Using the model, an incremental performance level attributable to each of the third-party exposures at the action time when the target action was performed is determined. Furthermore, transmission criteria for at least some digital components to which the particular user was exposed are modified based on the incremental performance.
Career Highlights
Amy Richardson is currently employed at Google Inc., where she continues to innovate and push the boundaries of machine learning technology. Her work has garnered attention for its practical applications and contributions to the field.
Collaborations
Some of her notable coworkers include Xinlong Bao and Mert Dikmen, who collaborate with her on various projects within the company.
Conclusion
Amy Richardson stands out as a leading inventor in the realm of machine learning, with her patents reflecting her dedication to advancing technology. Her contributions are shaping the future of how machine learning models are developed and utilized.