In person

Edge AI in action: Accelerating development across the Global South

  • Date
    20 February 2026
    Timeframe
    13:30 - 14:25 IST
    Duration
    55 minutes
    • Days
      Hours
      Min
      Sec

    As artificial intelligence (AI) evolves, the shift from centralized cloud computing to edge AI—including tinyML, AIoT, and physical AI—is transforming how data is processed and acted upon. By moving intelligence closer to data sources such as sensors, mobile devices, and IoT systems, edge AI reduces latency, bandwidth usage, and energy consumption while improving real-time decision-making, privacy, and security. Real-world applications in domains such as healthcare, agriculture, environmental monitoring, and smart cities will be highlighted, along with emerging lightweight and generative AI models designed for resource-constrained edge environments. 

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