Petah Tikva, Israel

Laurent Boué

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Laurent Boue

Introduction

Laurent Boue is a notable inventor based in Petah Tikva, Israel. He has made significant contributions to the field of machine learning and neural networks, holding two patents that showcase his innovative approach to technology. His work focuses on enhancing data dependency extraction and implementing blind spots in neural network models.

Latest Patents

One of Laurent Boue's latest patents is a method and system to extract data dependencies for machine learning models. This invention includes techniques for anomaly detection via sparse judgmental samples. The process involves generating a plurality of tokens from a textual representation of a machine learning model through lexical analysis. Additionally, it includes generating an abstract syntax tree (AST) based on these tokens. The AST helps identify data dependencies of the machine learning model, indicating its reliance on specific data sources. Furthermore, the invention allows for the detection of potential issues associated with these data sources, enabling the transmission of alert notifications in response to any identified problems.

Another significant patent by Boue is related to the implementation of blind spots in neural networks. This technique involves obtaining images captured within the field of view of an image capture device. The method determines a confidence value for an object based on its position within the field of view. The neural network model is trained to generate lower confidence values for specific objects when they occupy certain positions, enhancing the model's accuracy in identifying objects of interest.

Career Highlights

Laurent Boue has worked with prominent companies such as SAP SE and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his expertise in technology and innovation.

Collaborations

Throughout his career, Boue has collaborated with talented individuals, including Michael Kemelmakher and Ran Bittmann. These partnerships have likely enriched his work and led to further advancements in his projects.

Conclusion

Laurent Boue is a distinguished inventor whose work in machine learning and neural networks has led to valuable patents. His innovative methods for data dependency extraction and blind spot implementation demonstrate his commitment to advancing technology. His contributions continue to influence the field and inspire future innovations.

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