Decentralized AI Computing Architecture 🏗️

AI-Chain leverages distributed AI computing nodes to execute AI tasks in a trustless and decentralized manner. The computation is optimized through consensus-based AI task execution and blockchain-integrated model verification.

Mathematical Model for Distributed AI Computation

The AI task execution follows a decentralized computation consensus protocol:

where:

• is the total cost of decentralized AI computation.

• represents the execution time for node .

• represents the processing power of node .

• is the latency function for task , dependent on network state .

• is a scaling factor for latency impact.

This model ensures efficient AI task allocation based on node performance while minimizing latency.

Solidity Smart Contract for AI Task Submission

pragma solidity ^0.8.0;

contract AITaskSubmission {
    struct Task {
        uint taskId;
        address requester;
        uint reward;
        string dataHash;
        bool completed;
    }
    
    mapping(uint => Task) public tasks;
    uint public taskCounter;
    
    function submitTask(string memory dataHash, uint reward) public returns (uint) {
        taskCounter++;
        tasks[taskCounter] = Task(taskCounter, msg.sender, reward, dataHash, false);
        return taskCounter;
    }
}

This contract enables AI computation tasks to be submitted on-chain with a reward for execution.