Pelajaran 3

Smart Contracts in Decentralized AI

Let's dig deeper into the role of smart contracts in DAI, building on our earlier conversations. As we go deeper into advanced Decentralized AI applications, it's critical to understand how smart contracts especially adapt to AI's unique requirements. In this session, we'll look at how smart contracts are customised for Decentralized AI, including data access control, incentive distribution, and smooth connection with DAI dApps.

Smart Contracts for Data Access Control in DAI

Smart contracts can be designed to govern who can access specific data in a Decentralized AI system. By setting predefined conditions in the contract, we can ensure that only authorized entities can access and use the data, thereby maintaining data privacy and security.

Solidity
pragma solidity ^0.8.0;

contract DataAccessControl {
    address public dataOwner;
    mapping(address => bool) public authorizedEntities;

    modifier onlyAuthorized() {
        require(authorizedEntities[msg.sender], "Not authorized");
        _;
    }

    function grantAccess(address _entity) public {
        require(msg.sender == dataOwner, "Only the owner can grant access");
        authorizedEntities[_entity] = true;
    }

    function revokeAccess(address _entity) public {
        require(msg.sender == dataOwner, "Only the owner can revoke access");
        authorizedEntities[_entity] = false;
    }

    function accessData() public view onlyAuthorized returns(string memory) {
        return "Here's the data you requested!";
    }
}

This contract allows the data owner to grant or revoke access to specific entities. Only those with granted access can retrieve the data.

Reward Distribution in Decentralized AI Networks

In Decentralized AI networks, contributors (like data providers or model trainers) can be incentivized through rewards. Smart contracts can automate this reward distribution based on predefined criteria.

Solidity
pragma solidity ^0.8.0;

contract RewardDistribution {
    address public admin;
    mapping(address => uint) public rewards;

    function distributeReward(address _contributor, uint _amount) public {
        require(msg.sender == admin, "Only admin can distribute rewards");
        rewards[_contributor] += _amount;
    }

    function claimReward() public {
        uint reward = rewards[msg.sender];
        require(reward > 0, "No rewards to claim");
        rewards[msg.sender] = 0;
        payable(msg.sender).transfer(reward);
    }
}

This contract allows the admin to distribute rewards to contributors, who can then claim their rewards.

Integrating Smart Contracts with DAI dApps

DAI dApps rely on smart contracts to ensure that all operations within the app are transparent, safe, and decentralised. A smart contract, for example, may be used by a DAI dApp to handle user registrations, data submissions, and AI model training requests.

Scenarios for Advanced DAI Smart Contracts

The application cases for smart contracts become more complex as we progress in the area of Decentralized AI. The possibilities are endless, from performing sophisticated multi-party computations to providing real-time changes in AI models based on blockchain data. In later courses, we’ll go through more advanced cases.

Remember that the above code examples are only for demonstration reasons. To see them in action, you can test and change them in the Remix IDE. Always ensure extensive testing and auditing while working with smart contracts, especially in a live setting.

This lesson has provided a more in-depth understanding of smart contracts’ function in Decentralized AI. As we progress, we’ll look at more sophisticated principles as well as the actual uses and challenges of combining AI and blockchain technologies.

Pernyataan Formal
* Investasi Kripto melibatkan risiko besar. Lanjutkan dengan hati-hati. Kursus ini tidak dimaksudkan sebagai nasihat investasi.
* Kursus ini dibuat oleh penulis yang telah bergabung dengan Gate Learn. Setiap opini yang dibagikan oleh penulis tidak mewakili Gate Learn.
Katalog
Pelajaran 3

Smart Contracts in Decentralized AI

Let's dig deeper into the role of smart contracts in DAI, building on our earlier conversations. As we go deeper into advanced Decentralized AI applications, it's critical to understand how smart contracts especially adapt to AI's unique requirements. In this session, we'll look at how smart contracts are customised for Decentralized AI, including data access control, incentive distribution, and smooth connection with DAI dApps.

Smart Contracts for Data Access Control in DAI

Smart contracts can be designed to govern who can access specific data in a Decentralized AI system. By setting predefined conditions in the contract, we can ensure that only authorized entities can access and use the data, thereby maintaining data privacy and security.

Solidity
pragma solidity ^0.8.0;

contract DataAccessControl {
    address public dataOwner;
    mapping(address => bool) public authorizedEntities;

    modifier onlyAuthorized() {
        require(authorizedEntities[msg.sender], "Not authorized");
        _;
    }

    function grantAccess(address _entity) public {
        require(msg.sender == dataOwner, "Only the owner can grant access");
        authorizedEntities[_entity] = true;
    }

    function revokeAccess(address _entity) public {
        require(msg.sender == dataOwner, "Only the owner can revoke access");
        authorizedEntities[_entity] = false;
    }

    function accessData() public view onlyAuthorized returns(string memory) {
        return "Here's the data you requested!";
    }
}

This contract allows the data owner to grant or revoke access to specific entities. Only those with granted access can retrieve the data.

Reward Distribution in Decentralized AI Networks

In Decentralized AI networks, contributors (like data providers or model trainers) can be incentivized through rewards. Smart contracts can automate this reward distribution based on predefined criteria.

Solidity
pragma solidity ^0.8.0;

contract RewardDistribution {
    address public admin;
    mapping(address => uint) public rewards;

    function distributeReward(address _contributor, uint _amount) public {
        require(msg.sender == admin, "Only admin can distribute rewards");
        rewards[_contributor] += _amount;
    }

    function claimReward() public {
        uint reward = rewards[msg.sender];
        require(reward > 0, "No rewards to claim");
        rewards[msg.sender] = 0;
        payable(msg.sender).transfer(reward);
    }
}

This contract allows the admin to distribute rewards to contributors, who can then claim their rewards.

Integrating Smart Contracts with DAI dApps

DAI dApps rely on smart contracts to ensure that all operations within the app are transparent, safe, and decentralised. A smart contract, for example, may be used by a DAI dApp to handle user registrations, data submissions, and AI model training requests.

Scenarios for Advanced DAI Smart Contracts

The application cases for smart contracts become more complex as we progress in the area of Decentralized AI. The possibilities are endless, from performing sophisticated multi-party computations to providing real-time changes in AI models based on blockchain data. In later courses, we’ll go through more advanced cases.

Remember that the above code examples are only for demonstration reasons. To see them in action, you can test and change them in the Remix IDE. Always ensure extensive testing and auditing while working with smart contracts, especially in a live setting.

This lesson has provided a more in-depth understanding of smart contracts’ function in Decentralized AI. As we progress, we’ll look at more sophisticated principles as well as the actual uses and challenges of combining AI and blockchain technologies.

Pernyataan Formal
* Investasi Kripto melibatkan risiko besar. Lanjutkan dengan hati-hati. Kursus ini tidak dimaksudkan sebagai nasihat investasi.
* Kursus ini dibuat oleh penulis yang telah bergabung dengan Gate Learn. Setiap opini yang dibagikan oleh penulis tidak mewakili Gate Learn.