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Generative Artificial Intelligence for Image Data Science

Year: 2026

Type: article

Abstract: This slide deck introduces us to the very basics needed to perform image data science using code-generation approaches with large language models. The slides here are associated with the exercise materials provided here: https://scads.github.io/hic-genai-2026

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24082015

Author: Haase, Robert

Institutions: Center for Scalable Data Analytics and Artificial Intelligence, Leipzig University

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225649679

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