Miami Network Docs
Official WebsiteTestnet ExplorerTestnet Faucet
  • Introduction & Executive Summary
  • Problems and How We Are Aiming to Solve Them
    • Static and Rigid Consensus Approaches
    • Limited Integration of Advanced Technologies
    • Challenges in Scalability and Inclusion
    • Ecosystem Fragmentation and Integration Hurdles
  • Technical Architecture Overview
    • PoS Validators: The Backbone of Stability
    • PoT Validators: Extensive Reach and Accessibility
    • AI Nodes: Intelligence, Adaptability, and Open Competition
    • Data Flow and Consensus Interplay
    • Benefits of the Integrated Architecture
  • Consensus Protocol Mechanics
  • Incentive Alignment
  • Security
  • Milestones
  • Conclusion
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  1. Problems and How We Are Aiming to Solve Them

Limited Integration of Advanced Technologies

Many blockchains have yet to fully leverage AI and machine learning for consensus optimization and validator trust assessment.

How Miami Network Aims to Solve This The Miami Network embeds AI-driven trust scoring at its core. Applications can run their own AI nodes, refine models, and influence the validation environment. This transforms dApps and ecosystem participants from passive users into active co-creators of network security and efficiency.

PreviousStatic and Rigid Consensus ApproachesNextChallenges in Scalability and Inclusion

Last updated 4 months ago