Room W
Workshop

Empowering innovative and intelligent solutions at the edge

In person
  • Date
    10 July 2025
    Timeframe
    09:00 - 12:15 CEST
    Duration
    3 hours
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    As artificial intelligence (AI) evolves, the transition from centralized cloud computing to edge AI – including tinyML, AIoT, and physical AI – is changing how data is processed, analyzed, and acted upon. By bringing AI capabilities closer to the source of data generation—whether in sensors, mobile devices, or IoT systems—edge AI significantly reduces latency, bandwidth usage, and energy consumption. This shift not only enhances real-time decision-making but also addresses pressing concerns around data privacy and security. The workshop will explore the role of edge AI in creating sustainable, energy-efficient systems that can operate autonomously in diverse environments, from rural communities to densely populated urban centers (that directly advance U.N. SDG objectives).

    Participants will engage with innovations and applications of edge AI across multiple sectors, including but not limited to healthcare, agriculture, environmental monitoring, and smart cities. The workshop will also highlight the development of lightweight AI models, including generative AI, tailored for edge devices and discuss the unique challenges of deploying AI in environments with limited connectivity and computational resources.

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