AISim
  • 1. Market Background
    • 1.1 Development Prospects
    • 1.2 Potential Challenges
  • 2. AISim: The World’s First Web3 IoE Network
    • 2.1 AIA Protocol (AISim Intelligent Access Protocol)
    • 2.2 Decentralized Identity Authentication (DID) System
    • 2.3 Distributed AI Acceleration Engine
    • 2.4 Intelligent Privacy Computing Module
    • 2.5 DeAI Client (Decentralized AI Client)
    • 2.6 IoE Data Management and Intelligent Caching System
  • 3. Technical Architecture
    • 3.1 AIA Protocol
      • 3.1.1 Protocol Adaptation Layer
      • 3.1.2 Distributed Task Scheduling Engine
      • 3.1.3 Decentralized Communication Network
      • 3.1.4 Cross-layer Data Encryption and Privacy Protection
      • 3.1.5 Dynamic Resource Scheduling and Optimization
    • 3.2 Distributed AI Acceleration
      • 3.2.1 Edge Node Computing Optimization
      • 3.2.2 Multi-Node Distributed Execution
      • 3.2.3 Privacy-Preserving Collaborative Training
    • 3.3 Decentralized Identity and Access Management
      • 3.3.1 Identity Verification and Access Level Grading
      • 3.3.2 Multi-level Data Protection
  • 4. Application Scenario
    • 4.1 Smart Healthcare and Health Management
    • 4.2 Autonomous Driving and Intelligent Transportation
    • 4.3 Agricultural Internet of Things and Precision Agriculture
    • 4.4 Industrial Automation and Intelligent Manufacturing
    • 4.5 Smart City and Public Services
    • 4.6 Edge Computing and Distributed AI
  • 5. IoE Web3 Ecosystem Construction
    • 5.1 DID Physical Nodes
      • 5.1.1 Types of Smart SIM Cards
      • 5.1.2 Rights of DID Physical Nodes
    • 5.2 MVNO Integration
    • 5.3 Ecosystem Incentives
  • 6. Tokenomics
    • 6.1 Token Distribution
    • 6.2 AST Token Use Cases
  • 7.Roadmap
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  1. 1. Market Background

1.1 Development Prospects

The core advantage of IoE lies in providing seamless communication and interaction experiences by connecting more devices and data sources, while extracting valuable insights through advanced data analysis techniques to support real-time and predictive decision-making. Through process automation and intelligent control, IoE can reduce human intervention and improve efficiency and accuracy.

Moreover, the combination of IoE and AI Agents further promotes the trend of intelligent Internet of Things. AI Agents can analyze IoE data in real time, provide personalized services and product recommendations, and promote the emergence of new business models and application scenarios, such as smart cities, intelligent transportation, and remote healthcare, to promote the digital transformation of various industries.

According to data from Coherent Market Insights, the IoE market size reached $104.975 billion in 2022, and is expected to achieve a compound annual growth rate of 15.2% from 2023 to 2030. With the rapid development of artificial intelligence, edge computing, big data, and cloud technology and their deep integration with IoE, this field shows great potential.

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Last updated 1 month ago