What can we learn from Multi-Agent Systems for Image Data Analysis?

In this slide deck we dive into parallel processing multi agent systems and how we can use them to get an idea about functional correctness of code. We learn what self-consistency between AI-generated results mean, and what not. Finally, we learn about the sand-bob multi AI-agent system and see it in action: https://haesleinhuepf.github.io/sand-bob/

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24052891
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

What can we learn from Multi-Agent Systems for Image Data Analysis?

Robert Haase
1 links
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

What can we learn from Multi-Agent Systems for Image Data Analysis?

Robert Haase
article en

Abstract

In this slide deck we dive into parallel processing multi agent systems and how we can use them to get an idea about functional correctness of code. We learn what self-consistency between AI-generated results mean, and what not. Finally, we learn about the sand-bob multi AI-agent system and see it in action: https://haesleinhuepf.github.io/sand-bob/

Zenodo (CERN European Organization for Nuclear Research)
Center for Scalable Data Analytics and Artificial Intelligence (DE), Leipzig University (DE)
Scientific Computing and Data Management
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