Ghent, Belgium

Sam Leroux


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022

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2 patents (USPTO):Explore Patents

Title: Sam Leroux: Innovator in Cross-Platform Machine Learning Applications

Introduction

Sam Leroux is a notable inventor based in Ghent, Belgium. He has made significant contributions to the field of machine learning, particularly in developing systems and methods for cross-platform applications. With two patents to his name, Leroux is recognized for his innovative approach to programming tiny machine learning applications.

Latest Patents

Leroux's latest patents include "Systems and methods for preparing cross-platform machine learning applications" and "Systems and methods for preparing and deploying cross-platform applications." The first patent focuses on a method that allows for the interaction with tiny machine learning hardware through declarative instructions. This method enables the compilation of machine learning procedure blocks into bytecode, which can be executed on various instances of tiny ML hardware without the need for recompilation. The second patent outlines a system for deploying cross-platform applications to tiny ML hardware, providing tools to maintain definitions of declarative instructions and compiled bytecode, ensuring compatibility and integrity during the loading process.

Career Highlights

Leroux is currently employed at Hammer of the Gods Inc., where he continues to push the boundaries of machine learning technology. His work is characterized by a commitment to enhancing the functionality and accessibility of tiny ML applications.

Collaborations

Throughout his career, Leroux has collaborated with talented individuals such as Kartik Thakore and Srivatsa Akshay Sharma. These partnerships have contributed to the development of innovative solutions in the field of machine learning.

Conclusion

Sam Leroux stands out as a pioneering inventor in the realm of cross-platform machine learning applications. His patents reflect a deep understanding of technology and a vision for the future of machine learning.

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