Filderstadt-Bonlanden, Germany

Paul Wimmer

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Robert Bosch. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Wimmer. Retrieved from https://idiyas.com/inventor/paul-wimmer

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Paul Wimmer

Introduction

Paul Wimmer is an accomplished inventor based in Filderstadt-Bonlanden, Germany. He has made significant contributions to the field of artificial intelligence, particularly in the simplification of artificial neural networks. His innovative approach has garnered attention in the tech community.

Latest Patents

Wimmer holds a patent for a "Method for simplifying an artificial neural network." This method focuses on optimizing the performance of an artificial neural network (ANN) by utilizing two complementary assessment criteria. The first criterion maps simplified configurations of the ANN to performance predictions, while the second criterion enhances this mapping, aiming for the best possible performance outcome.

Career Highlights

Paul Wimmer is currently employed at Robert Bosch, a leading global engineering and technology company. His work at Bosch allows him to apply his expertise in artificial intelligence and neural networks, contributing to the company's innovative projects.

Collaborations

Wimmer has collaborated with notable colleagues, including Alexandru Paul Condurache and Jens Eric Markus Mehnert. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Paul Wimmer's contributions to the field of artificial intelligence, particularly through his patent on simplifying artificial neural networks, highlight his innovative spirit and dedication to advancing technology. His work at Robert Bosch and collaborations with talented colleagues further emphasize his impact in the industry.

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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