NexaFusion Whitepaper V 1.0
  • Execution Summary
  • Introduction to NexaFusion
    • Introduction to NexaFusion
    • Purpose and Goals
    • System Architecture
  • About $NXF
    • $NXF Coin
    • Purpose of $NXF
    • Economic Design
    • Ecosystem Utilization
  • NexaFusion Architecture
    • Overview
    • Core Components of NexaFusion Architecture
    • Data Layer
    • Model Management Interface
    • Reward System
    • Verification and Arbitration Layer
    • Monitoring and Feedback Loop
  • Storage Nodes
    • Overview
    • Operations
    • Reward System
    • Integration into NexaFusion
  • NEXUS
    • NEXUS
    • Model Testing and Validators
    • Usage-based Rewards
  • Tokenomics
    • Overview
    • Utility
    • Vesting plan
  • Team
    • Core member
  • Roadmap
  • NEXUS Roadmap
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  1. Introduction to NexaFusion

Purpose and Goals

NexaFusion aims to enhance the overall quality and functionality of AI within the blockchain space, leveraging a BSC-based network and focusing on achieving the following key objectives:

Improve Data Integrity NexaFusion integrates a rigorous validation process to facilitate peer-to-peer verification and expert reviews, ensuring only high-quality data is used for training machine learning models.

Foster Machine Learning Innovation The platform encourages diverse contributions from a decentralized community, promoting innovation and advancements in AI technology.

Create a Reward Ecosystem NexaFusion features a comprehensive reward system that fairly compensates efforts in data provision, model validation, and testing, fostering an active and engaged community.

Ensure Transparency and Trust Utilizing blockchain technology, NexaFusion provides clear documentation of model training data, enhancing transparency in development and characteristics.

Enhance Market Accessibility NexaFusion lowers the barriers for enterprises seeking advanced AI solutions by expanding data resources and maintaining a robust validator network, reducing costs and complexity.

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Last updated 8 months ago