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Table of Contents

The first SIG-AI meeting was an opportunity to jointly share ideas, experiences and best practices in AI used by leading research and development institutions in Europe.
As part of the meeting, representatives from various NRENs such as GRNet, Surf, NORDUnet and DFN presented strategies for the development of AI services and applications.  There was also a lot of interest in technology presentations, where experts presented advanced aspects of the use of AI, e.g. in the area of cyber security. The PSNC presented a wide range of AI application services and projects in the area of next-generation networks, medicine, education, industry and the humanities. 
Discussions held during the meeting, particularly during the brainstorming sessions where participants had the opportunity to speak in smaller groups on key AI issues, will help shape the SIG-AI group's activities in the coming months. Conclusions and comments from meeting participants will allow the group's focus areas and specific objectives to be defined more precisely. toc

Attendance

  • 28 people onsite
  • X remote participants

Pictures

Gallery
titleA glimpse of the SIG-AI in Poznan, photo by Maciej Rutkowski, PSNC

Online questionnaires (by Menti) 


What was the most useful part of the meeting?

Is there anything you want to know more about?

What are the expected topics

for future SIG-AI meetings

What are the expected themes

for TNC2025 Side meetings

Number of responses
352418
Top answers
  1. Networking (sharing information, etc)
  2. Learning what the other NRENs do in AI (presentations, etc.)
  1. Roadmap (next steps, future directions)
  2. EU regulations on AI (AI ethics, AI act, AI governance)
  3. Data strategy (strategic approach)
  1. AI in education
  2. Collective actions (joint proposals, joint activity for all)
  3. Geant services
  4. Digital twins (digital twinning, 
  1. Community AI initiatives (partnership, experience sharing)
  2. AI for Edu
  3. Green AI (carbon footprint, 
Other answers
  1. Security - malware analysis, cybersecurity of AI models, ...
  2. Collaboration - sharing solutions, call for projects, collective actions, ...
  1. Green - Green AI, Green economy, climate
  2. Trustworthy AI - AI service validation
  3. Technical aspects - intelligent networks, AI Ops, dataset for AI
  1. Open AI - models reuse, LLMs

Group meetings

Notes about the main discussions of the groups in this folder:
https://geant.app.box.com/folder/297896284541

...