KI-Nachhaltigkeitslabor (KIN'L)
Whatâs the KINâL?
The Artificial Intelligence Sustainability Lab at Eberswalde University for Sustainable Development (KI-Nachhaltigkeitslabor, KINâL@HNEE).
The Federal Ministry of Education and Research (BMBF) is funding the establishment of an AI sustainability laboratory at HNEE as part of the KI-Nachwuchs@FH funding guideline. The endeavour is centered on the acquisition of an AI computing system for use in teaching, research and transfer.
- April 1st 2023 to April 30th 2025
- Funding body: BMBF
- Contact person: Peter Neumeister
The specialist areas are conformed by our faculties/departments (Forest and the environment, Landscape Use and Nature Conservation, Wood Engineering, Sustainable economy) and involving the areas of teaching, research and transfer. About the KIN'L structure, it's composed by:
KIN'L-SATELLITE: Concrete project-financed research topics to develop on KIN'L-CORE, collaborative efforts within the university and also with external partners.
KIN'L-OPENLAB: Open access to KIN'L-CORE and JupyterLab as a learning environment.
KIN'L-CORE: Hardware, software and maintenance of the AI infrastructure.
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NVIDIA DGX H100
Access to the server, onboarding documents
We provide access to our server for users at HNEE and provide the following instructions:
Onboarding-process-for-the-KINL-0.3.pdf (version 0.3, last updated on November 1st, 2024)
Materials
Some slides of our first presentation and introduction to the university community:
âââââââKINLpresentation-2.pdf
Introductory jupyter notebook with simple example for audio classification:
Advanced jupyter notebook with deep learning training for image classification:
DeepLearningMNISTImageClassification.ipynb
Contact information
Jorge.Ruiz@hnee.de
Jorge Ruiz
Research associate at the AI Sustainability Lab