Room U
Workshop

AI and Machine Learning in communication networks

In person
  • Date
    9 July 2025
    Timeframe
    09:00 - 17:15 CEST
    Duration
    8h 15 minutes
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    This workshop marks the 3rd edition of the MLComm series, continuing the exploration of AI/ML in modern communication networks. As networks evolve towards IMT-2030 (6G), AI/ML is transforming telecom architectures, enabling distributed intelligence, AI-native operations, and multimodal capabilities for automation, optimization, and decision-making.

    The 2023 edition provided foundational inputs to the Focus Group on Autonomous Networks, while the 2024 edition facilitated collaborations toward the Focus Group on AI-Native Networks.

    The workshop aligns with key ITU standardization activities, rooted in fundamental specifications from FG ML5G (ITU Y.3172) and FG AN (ITU Y.3061). It has enabled contributions to the ITU Journal for Future and Evolving Technologies, ML5G Challenges, and the Discovery webinar series, promoting research and real-world AI applications in telecom.

    Several ITU ML5G initiatives, such as AI/ML Challenges and Zindi-hosted competitions, further demonstrated the importance of regional inclusivity, diverse datasets, and research collaborations around AI/ML in networks. Resolution 101 of WTSA-24 (New Delhi, 2024) mentioned standardization in AI-enabled networks, protocols, services, and applications. The ITU AI Readiness Initiative continues to explore AI integration challenges in SDGs, while Innovate for Impact programs foster global collaborations on use cases, datasets, and proof-of-concepts for AI-driven networks.

    This year’s MLComm workshop brings together innovations in AI technologies, opensource and standardization efforts, architectural paradigms, and cutting-edge toolsets for AI-driven telecom networks. This workshop aims to strengthen the bridge between AI research, industry innovation, and global standardization, ensuring that AI technologies in telecom meet real-world needs while driving next-generation network advancements.

  • Schedule

    Examining breakthroughs in reasoning models, inference optimization, agentic workflows, and generative AI.

    Understanding the evolving role of SDOs and research partners in AI-native telecom standardization.

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    • 19
      Days
      09
      Hours
      38
      Min
      20
      Sec