Salzkotten, Germany

Martin Wistuba

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin Wistuba. Retrieved from https://idiyas.com/inventor/martin-wistuba-yoxui3ca

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Martin Wistuba: Innovator in Continual Machine Learning

Introduction

Martin Wistuba is a notable inventor based in Salzkotten, Germany. He has made significant contributions to the field of machine learning, particularly in the context of provider networks. His innovative approach focuses on creating systems that enhance the adaptability and efficiency of machine learning processes.

Latest Patents

Wistuba holds a patent for a system and method titled "Continual machine learning in a provider network." This invention is designed to implement or interface with a system that utilizes a semi-automated or fully automated architecture for continual machine learning. The architecture allows for user-configurable model retraining or hyperparameter tuning, enabling the model to adapt over time to new information in the training data. This invention emphasizes a user-friendly, flexible, and customizable continual learning process.

Career Highlights

Martin Wistuba is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in machine learning. His work is characterized by a commitment to enhancing the capabilities of provider networks through advanced technology.

Collaborations

Wistuba collaborates with talented individuals such as Giovanni Zappella and Lukas Stefan Balles, contributing to a dynamic and innovative work environment.

Conclusion

Martin Wistuba's contributions to continual machine learning represent a significant advancement in the field. His patent and ongoing work at Amazon Technologies, Inc. highlight his dedication to innovation and the development of adaptable 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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