Breisach, Germany

Artur Susdorf

This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Daiki Gmbh. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Artur Susdorf. Retrieved from https://idiyas.com/inventor/artur-susdorf

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Artur Susdorf: Innovator in Machine Learning Provenance

Introduction

Artur Susdorf is a notable inventor based in Breisach am Rhein, Germany. He has made significant contributions to the field of machine learning, particularly in verifying the provenance of machine learning systems. His innovative approach has garnered attention in the tech community.

Latest Patents

Artur holds a patent titled "Verifying the provenance of a machine learning system." This patent involves receiving a header, metadata, and content associated with a machine learning system. A digital envelope is generated based on these elements, which includes a first value corresponding to the header and a combined value for the metadata and content. This invention aims to enhance the reliability and traceability of machine learning systems.

Career Highlights

Artur is currently employed at Daiki GmbH, where he applies his expertise in machine learning. His work focuses on developing innovative solutions that address the challenges in the field. With a patent portfolio that includes 1 patent, he continues to push the boundaries of technology.

Collaborations

Artur collaborates with talented individuals such as Jona Boeddinghaus and Mauritz Kop. Their combined efforts contribute to the advancement of projects at Daiki GmbH, fostering a creative and innovative work environment.

Conclusion

Artur Susdorf is a pioneering inventor whose work in machine learning provenance is shaping the future of technology. His contributions are vital in ensuring the integrity and reliability of machine learning systems.

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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