Dublin, Ireland

Ilja Moisejevs

This inventor holds 2 USPTO granted patents. Top assignee: Calypso Ai Corp. Active years: 2020-2024.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Ilja Moisejevs

Introduction

Ilja Moisejevs is a prominent inventor based in Dublin, Ireland. He has made significant contributions to the field of machine learning, particularly in the area of model robustness. With a total of 2 patents, his work is paving the way for advancements in artificial intelligence.

Latest Patents

Ilja's latest patents focus on the characterization of machine learning model robustness. The first patent describes a method for assessing the robustness of a machine learning model by receiving a file with a known first classification. A selection is made from various perturbation algorithms to modify the file, aiming to create the shortest sequence of actions that will lead the model to provide a desired classification. The process involves iteratively modifying the file using the selected algorithm until the model outputs a known second classification. This innovative approach is crucial for enhancing the reliability of machine learning systems.

Career Highlights

Ilja Moisejevs is currently associated with Calypso AI Corp, where he continues to develop cutting-edge technologies in machine learning. His expertise in the field has positioned him as a valuable asset to the company and the broader tech community.

Collaborations

Ilja has worked alongside talented individuals such as Brendan Quinlivan and Victor Ardulov. Their collaborative efforts contribute to the innovative projects at Calypso AI Corp.

Conclusion

Ilja Moisejevs is a noteworthy inventor whose work in machine learning is making a significant impact. His patents and contributions to the field demonstrate his commitment to advancing technology and improving model robustness.

Profile summary based on public USPTO records.
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