NeuraCoin Whitepaper

Abstract

NeuraCoin represents a paradigm shift in the intersection of artificial intelligence and blockchain technology. This whitepaper outlines our vision for a cryptocurrency specifically designed to power AI applications, facilitate decentralized AI governance, and create a sustainable ecosystem for AI development.

Unlike traditional cryptocurrencies, NeuraCoin utilizes a novel proof-of-compute consensus mechanism that directs computational resources toward meaningful AI workloads, creating a symbiotic relationship between token miners and AI researchers.

Technical Architecture

NeuraCoin is built on a modified Ethereum Virtual Machine (EVM) with specialized opcodes for AI operations. The blockchain incorporates the following key innovations:

• Neural consensus protocol for distributed AI training
• Adaptive block sizing based on computational complexity
• Specialized smart contracts for machine learning operations
• Privacy-preserving federated learning capabilities
• Cross-chain interoperability with major AI ecosystems

The network achieves 10,000 transactions per second through a novel sharding approach that parallelizes AI computations across validator nodes.

Tokenomics

NeuraCoin has a fixed supply of 100 million tokens, distributed as follows:

• 40% allocated to compute mining rewards (released over 10 years)
• 20% reserved for the development team (4-year vesting schedule)
• 15% allocated to the ecosystem development fund
• 15% distributed through the initial token sale
• 10% reserved for strategic partnerships

The token serves multiple utilities within the ecosystem, including payment for AI services, staking for network security, governance voting, and compute resource allocation.

AI Governance Model

NeuraCoin implements a decentralized governance system for AI model development and deployment. Token holders can participate in:

• Voting on AI model parameters and architectures
• Approving training datasets for ethical considerations
• Setting resource allocation priorities
• Determining fee structures for AI services
• Proposing and approving protocol upgrades

This governance structure ensures that AI development remains aligned with community values while preventing centralized control of powerful AI systems.