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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2.1.3 Uneven Distribution of Arithmetic Power, and Lack of a Firm Community Base

The vast majority of research projects and computational resources for the growth of the AI industry are concentrated in the U.S. and European regions, with relatively few in other regions. This geographic imbalance has led to limited growth in the size of AI networks and the value of computing power.

There may be multiple reasons for this problem. Firstly, the US and European regions have more research institutes and high-level research talents in the field of AI. Their projects are more likely to gain media exposure and funding. Secondly, these regions are richer in computing resources, which can meet the needs of AI projects and attract more researchers and enterprises to invest in this field.

At the same time, there is an imbalance in the distribution of arithmetic resources between head enterprises and small and medium-sized enterprises; and an imbalance in the distribution of arithmetic resources between Ai practitioner organizations and non-Ai industry organizations.

Artificial Intelligence as a common future development issue for global mankind, this imbalance in the distribution of arithmetic resources is detrimental to the development of global AI.

Artificial intelligence has the ability to address the needs of many underdeveloped regions and industries, but its development has been slow. In order to promote the global, all-human development of AI, we need to address this issue, promote the balanced distribution of computing resources globally, facilitate global cooperation and exchanges on AI, stimulate innovation in more regions and industries, as well as promote the application of AI in all walks of life.

Uneven distribution of AI arithmetic resources can lead to relatively slow development in these regions and industries, preventing them from making full use of AI to meet demand and limiting the popularity and acceptance of the AI eco-community. The balanced distribution of arithmetic resources needs to be supported and recognized by the arithmetic community. Technical support is provided in problem solving to ensure fair, just, transparent and tamper-proof results. This can increase the community's trust in problem solving.

BOBchain builds a worldwide arithmetic sharing network through the decentralized nature of the blockchain, allowing regions and industries to have equitable access to AI arithmetic support. Smart contracts and distributed ledgers record each participant's contribution and usage. Blockchain also provides data privacy and security to ensure that users' data is not misused or tampered with. This will increase the credibility and reliability of AI technology and further promote its application and development in various industries.

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