Zug, Switzerland

Leszek Michalak

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Thomson Reuters Enterprise Centre Gmbh. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Leszek Michalak. Retrieved from https://idiyas.com/inventor/leszek-michalak

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 = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Leszek Michalak: Innovator in AI Explainability

Introduction

Leszek Michalak is a prominent inventor based in Zug, Switzerland. He has made significant contributions to the field of artificial intelligence, particularly in the area of explainability. His work focuses on developing methods and systems that enhance the understanding of AI model outputs.

Latest Patents

Leszek holds a patent titled "Systems and methods for analysis explainability." This patent outlines innovative methods for presenting artificial intelligence explainability metrics associated with model-based results. The technology involves applying a model to a source document to generate a summary, determining attention scores for tokens within the document, and displaying these scores to indicate the relevance of specific words in the context of the summary. He has 1 patent to his name.

Career Highlights

Leszek is currently employed at Thomson Reuters Enterprise Centre GmbH, where he continues to push the boundaries of AI technology. His expertise in explainability metrics is crucial for improving the transparency and trustworthiness of AI systems.

Collaborations

Leszek collaborates with talented professionals in his field, including Nadja Herger and Nina Hristozova. Their combined efforts contribute to advancing the understanding and application of AI technologies.

Conclusion

Leszek Michalak is a key figure in the realm of AI explainability, with a focus on developing innovative solutions that enhance the interpretability of AI models. His contributions are vital for the future of artificial intelligence.

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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