KI-Morph – User-friendly large-scale image analysis & AI on bwHPC systems

Abstract:

Artificial Intelligence (AI) has become indispensable for analyzing large-scale datasets, particularly in the realm of 3D image volumes. However, effectively harnessing AI for such tasks often requires advanced algorithms and high-performance computing (HPC) resources, presenting significant challenges for non-technical users. To overcome these barriers, we present KI-Morph, a novel software platform for large-scale image analysis seamlessly integrated with the bwHPC infrastructure. It offers a user-friendly interface, enabling sophisticated AI-driven analysis without requiring technical expertise in either AI or HPC. KI-Morph prioritizes data privacy and sovereignty, ensuring that users retain full control over their data. Additionally, the components developed for the platform support researchers also with science outreach by enabling the creation of interactive online visualizations, for example using the 2D, 3D and augmented reality viewers.

SEEK ID: https://publications.h-its.org/publications/2000

Filename: Zeilmann_-_KI-Morph_–_User-friendly_large-scale_image_analysis_&_AI_on_bwHPC_systems_-_Preprint.pdf 

Format: PDF document

Size: 810 KB

SEEK ID: https://publications.h-its.org/publications/2000

Research Groups: Data Mining and Uncertainty Quantification

Publication type: InProceedings

Publisher: 10th bwHPC Symposium

Citation:

Date Published: 26th Sep 2024

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Registered Mode: by DOI

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