Paris, France

Bernard Victorri

This inventor holds 1 USPTO granted patent. Top assignee: Lucent Technologies Inc.. Active years: 1996.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bernard Victorri. Retrieved from https://idiyas.com/inventor/bernard-victorri

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 1996

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1 patent (USPTO):Explore Patents

Title: The Innovations of Bernard Victorri

Introduction

Bernard Victorri is a notable inventor based in Paris, France. He has made significant contributions to the field of neural networks, particularly in the context of postal service technology. His innovative approach has led to the development of a unique training system for neural networks.

Latest Patents

Victorri holds a patent for a "Training system for neural networks." This invention addresses the challenges faced by postal services in accurately recognizing letters and numbers in real time. The system enables the neural network to learn to identify invariant characteristics of letters and numbers, which reduces the need for extensive sample data and processing.

Career Highlights

Throughout his career, Bernard Victorri has been associated with Lucent Technologies Inc., where he has applied his expertise in neural networks. His work has been instrumental in enhancing the efficiency of postal sorting systems.

Collaborations

Victorri has collaborated with prominent figures in the field, including John Stewart Denker and Yann Andre LeCun. These partnerships have further enriched his research and development efforts.

Conclusion

Bernard Victorri's contributions to neural network technology exemplify the impact of innovative thinking in practical applications. His work continues to influence advancements in postal service technology and beyond.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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