- Created by Ville Tenhunen, last modified by Marco Rorro on 2024 Sep 20
This WG was active in 2021-22.
Main objective
Focus of the Working Group will be driving the technical evolution of the EGI Federation in the areas of Artificial Intelligence (AI) and Machine Learning (ML).
Activities
To support this goal, the WG will carry out the following activities
- Perform a technology scouting to identify available technical solutions to create, use, deploy or share AI or ML solutions or applications;
- Deal with user communities to gather requirements and recurrent use cases;
- Identify gaps of the current solutions with a focus on those from the solution providers participating in the WG;
- Discuss and plan enhancements for solution providers.
AI and ML WG Composition
EGI is engaging different types of stakeholders to accomplish the objectives of this WG:
- User communities: which will have a forum to present their requirements and use cases;
- Technical providers: which can benefit of direct contacts with large communities to drive the evolution of their services
- EGI infrastructure providers: which can deploy the solutions delivered in the context of the WG.
Duration and outcome
The WG has a duration of one year (which can be extended) and its main activity is to assess for each AI and ML use case the best solution available and derive technical objectives in the planned timescale, taking into account the available resources.
Documents and resources
- Machine Learning - EGI Landscape Analysis: https://documents.egi.eu/secure/ShowDocument?docid=3687
All Documents
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File
Modified
PDF File
AI and ML WG ToR.pdf
2022 Aug 17
by
Marco Rorro
PDF File
AI and ML WG Mandate.pdf
2022 Jun 20
by
Marco Rorro
Mailing list: tcb-aiml-wg@mailman.egi.eu
Confluence page: ARCHIVE/ Working Group: AI and ML
Operational Meetings: https://indico.egi.eu/category/383/
EGI Foundation
WG Chair | Marco Rorro |
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TCB Chair | Diego Scardaci |
Service owners | Ville Tenhunen |
Service owners | Elisa Cauhé |
Representatives for AI or ML service providers
DEEP Training Facility, cochair | Álvaro López García |
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User communities
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