EdgeAI operates through a modular four-layer architecture:
1.Edge Layer – Collects and processes real-world data from edge devices such as sensors, drones, robotics, and smart infrastructure.
2.Stream Layer – Manages real-time data transmission and synchronization between distributed nodes.
3.Verification Layer – Applies PoIE consensus to evaluate data quality, entropy contribution, and informational uniqueness.
4.Market Layer – Facilitates token-based incentives, value exchange, and AI service monetization. The core innovation, Proof of Information Entropy (PoIE), measures how much new, useful information a node contributes to the network. Instead of rewarding simple staking or hash power, the system incentivizes high-quality, diverse, and valuable data for AI training and inference.
This architecture enables
•Low-latency AI execution
•Distributed model collaboration
•Privacy-preserving federated learning
•Scalable infrastructure for billions of edge devices