Sunnyvale, CA, United States of America

Edouard Godfrey

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Edouard Godfrey: Innovator in Machine Learning Technologies

Introduction

Edouard Godfrey is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning, holding two patents that showcase his innovative approach to technology.

Latest Patents

Godfrey's latest patents focus on "Semantics preservation for machine learning models deployed as dependent on other machine learning models." This technology involves receiving assessment values from a first machine learning model on a client electronic device. These values indicate classifications of input data and are associated with constraint data, which includes a probability distribution of the assessment values concerning the classifications of the input data. The technology applies these assessment values to a second machine learning model to determine the classifications of the input data. It also assesses whether the accuracies of the classifications from the second model align with the probability distribution of the first model's assessment values. If discrepancies arise, the technology retrains the first machine learning model to ensure accuracy.

Career Highlights

Edouard Godfrey is currently employed at Apple Inc., where he continues to develop and refine machine learning technologies. His work is instrumental in enhancing the performance and reliability of machine learning applications.

Collaborations

Some of his notable coworkers include Gianpaolo Fasoli and Kuangyu Wang, who collaborate with him on various projects within the company.

Conclusion

Edouard Godfrey's contributions to machine learning through his patents and work at Apple Inc. highlight his role as an innovator in the technology sector. His advancements in semantics preservation for machine learning models are paving the way for more accurate and efficient applications in the field.

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