BOINC AI White paper
  • 🌍Abstract
  • 🌍1. BOINC AI Background
    • 1.1 Introduction to BOINC AI
    • 1.2 Introduction to BOINC AI Technology
    • 1.3 Supported AI Projects
  • 🌍2. BOBchain
    • 🌍2.1 BOBchain background
      • 2.1.1 AI development is proportional to arithmetic demand
      • 2.1.2 There is a paradox of sequencing between industry landing and technology diffusion
      • 2.1.3 Uneven Distribution of Arithmetic Power, and Lack of a Firm Community Base
      • 2.1.4 Lack of Mechanisms to Achieve Economic Circularity;
    • 2.2 Overview
    • 🌍2.3 Technical Features
      • 2.3.1 L1 Layer Network
      • 2.3.2 L2 Layer 2 Network
      • 2.3.3 PoVC Arithmetic Contribution Value Consensus
      • 2.3.4 Decentralized Distributed Storage of Encrypted Data;
      • 2.3.5 Proof of Zero Knowledge
      • 2.3.6 Blockchain Standardization for AI
  • 🌍3. BOINC AI Miner
    • 3.1 Hardware Binding and Verification
      • 3.1.1 Binding the Miner to the Chain
      • 3.1.2 Zero proof of knowledge is used for miner registration
      • 3.1.3 Mining Group Network Validation
      • 3.1.4 Compatible Smart Contracts
    • 3.2 Node Client
      • 3.2.1 Initialization of the Mining System
      • 3.2.2 Miner Hardware Identifier
      • 3.2.3 Proof of zero knowledge of the miner is submitted for validation
    • 3.3 AI Training and Validation
      • 3.3.1 Data Hashing
      • 3.3.2 Random Sampling
      • 3.3.3 Validating the AI Model
  • 🌍4. Data Privacy and Security
    • 4.1 Model Confirmation and Training Data Privacy and Security
    • 4.2 Distributed Cryptographic Storage
    • 4.3 Zero-knowledge proof protects user privacy
  • 🌍5. Artificial Intelligence Ecology
    • 5.1 BOINC AI Miner Community
    • 5.2 Web3 Standards for AI Ecology
    • 5.3 Decentralised Model Rental and Trading Marketplace
    • 🌍5.4 BOINC AI Foundation
      • 5.4.1 Overview
      • 5.4.2 Strategic Decision Committee
      • 5.4.3 Committee on Technology Development
      • 5.4.4 Public Relations Committee
      • 5.4.5 Secretariat
      • 5.4.6 Token economy model
    • 5.5 BOINC AI Team
    • 5.6 BOINC AI Development Roadmap
  • 🌍6. Super AI and AI Company
    • 6.1 Super AI Backgroud
    • 6.2 What can AI company do on the platform
    • 6.3 How does AI company issue STO tokens
    • 6.4 How to invest in AI companies in the miners
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  1. 1. BOINC AI Background

1.2 Introduction to BOINC AI Technology

BOINC AI is a blockchain-based artificial intelligence service platform. It consists of three major modules: middle layer, foundation layer and ecological layer.

The middle layer is a blockchain mainnet designed for AI services, providing secure, transparent and decentralized on-chain interactions. This means that users can perform operations such as training task dispatch, model rental, and Ai service through this main network. All these operations will be automatically executed by smart contracts.

The base layer is a distributed AI arithmetic system that is compatible with smart contracts. This means that users can access worldwide AI mining arithmetic resources through BOBchain to meet the needs of various AI learning models and inference models.

The ecological layer is the value layer of Web3, which combines the physical world with artificial intelligence to create a panoramic AI ecosystem. This means that BOINC AI will facilitate the circulation and interaction between algorithms and all kinds of data in the physical world through blockchain technology, so as to realize smarter, more efficient and deeper real-world application scenarios.

From a technical analysis perspective, BOINC AI is the world's first blockchain AI server. The use of blockchain technology and smart contracts has achieved decentralization of AI, ensuring user data security, user privacy and AI technology transparency. Meanwhile, through a distributed AI arithmetic system compatible with smart contracts, BOINC AI provides users with large-scale AI arithmetic resources to meet the needs of different application scenarios. In addition, the construction of Web3 at the ecological layer will further promote the integration of the physical world and AI, creating a smarter and more efficient AI ecosystem.

Previous1.1 Introduction to BOINC AINext1.3 Supported AI Projects

Last updated 1 year ago

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