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Explore the fundamental shift from cloud-based AI to distributed edge computing in this 47-minute keynote presentation from EDGE AI Taipei 2025. Discover how to architect next-generation vision systems that operate seamlessly across wearables, mobile devices, automobiles, and other connected endpoints while maintaining optimal speed, privacy, and functionality. Learn the essential technology stack components including connectivity protocols (Bluetooth, Wi-Fi, Thread, UWB, 5G), multi-modal sensing capabilities (audio, video, motion, biometrics), and on-device inference using AI DSPs and scalable engines. Understand how agentic systems coordinate distributed models across multiple endpoints, examine current investment trends in inference technology, and analyze the advantages of hybrid edge-cloud architectures for latency reduction, privacy enhancement, and cost optimization. Witness a practical real-time translation demonstration that integrates earbuds, smartphones, and cloud services to illustrate these concepts in action, providing a comprehensive roadmap for strategic AI deployment decisions.
