Antony, France

Charles Grenet

USPTO Granted Patents = 1 

Average Co-Inventor Count = 16.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Charles Grenet: Innovator in Machine Learning

Introduction

Charles Grenet is a notable inventor based in Antony, France. He has made significant contributions to the field of machine learning and automated data processing. His innovative work has led to the development of a unique patent that enhances the efficiency of machine learning model generation.

Latest Patents

Charles Grenet holds a patent for an invention titled "Automated data processing and machine learning model generation." This device is designed to obtain first data related to a machine learning model. It pre-processes the first data to generate second data, processes the second data to select a set of features, and analyzes these features to evaluate various types of machine learning models. The device selects a specific type of machine learning model based on this analysis and tunes its parameters for training. Finally, it provides predictions using the trained model. This patent showcases his expertise in integrating data processing with machine learning technologies.

Career Highlights

Charles Grenet is currently employed at Accenture Global Solutions Limited, where he applies his skills in data processing and machine learning. His work at Accenture allows him to collaborate with other talented professionals in the field, further enhancing his contributions to technology and innovation.

Collaborations

Some of his notable coworkers include Luke Higgins and Liang Han. Their collaboration fosters a creative environment that encourages the development of cutting-edge solutions in machine learning and data processing.

Conclusion

Charles Grenet's innovative work in automated data processing and machine learning model generation exemplifies the impact of technology on modern industries. His contributions continue to shape the future of machine learning applications.

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