Sierra Madre, CA, United States of America

Charlotte Bax

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.5

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):

Title: Innovations of Charlotte Bax

Introduction

Charlotte Bax is an accomplished inventor based in Sierra Madre, California. She has made significant contributions to the field of technology, particularly in machine learning and data privacy. With a total of four patents to her name, her work continues to influence the way we interact with technology.

Latest Patents

One of her latest patents is titled "Automatic privacy-aware machine learning method and apparatus." This invention discloses systems and methods aimed at improving interactions between computers in content generating, searching, hosting, and providing systems. The systems are designed to identify and retrieve data across platforms, enhancing the quality of data used in processing interactions among processors. The methods also focus on privacy-aware machine learning through improved data encoding that withholds more information.

Another notable patent is the "System and method for verified predictions and performance." This invention relates to communication regarding predictions. It establishes a communication chain with multiple independent chain units that provide prediction services related to a prompt. The system is capable of creating new chain units for query prompts, ensuring efficient handling of requests related to predictions.

Career Highlights

Charlotte currently works at Yahoo Assets LLC, where she continues to innovate and develop new technologies. Her work has garnered attention for its practical applications and potential to enhance user experiences in various digital environments.

Collaborations

Some of her notable coworkers include Eric Theodore Bax and Lisa Giaffo, who contribute to the collaborative environment that fosters innovation at Yahoo Assets LLC.

Conclusion

Charlotte Bax is a pioneering inventor whose work in machine learning and data privacy is shaping the future of technology. Her patents reflect a commitment to improving user interactions while prioritizing privacy. Her contributions are invaluable in the ever-evolving tech landscape.

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