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https://github.com/kosasih/neuronexus-core
The core repository for NeuroNexus, containing the AI-driven, decentralized, and self-aware network architecture.
https://github.com/kosasih/neuronexus-core
blockchain blockchain-technology quantum quantum-computing quantum-finance
Last synced: 11 days ago
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The core repository for NeuroNexus, containing the AI-driven, decentralized, and self-aware network architecture.
- Host: GitHub
- URL: https://github.com/kosasih/neuronexus-core
- Owner: KOSASIH
- License: apache-2.0
- Created: 2024-10-04T16:18:36.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-23T16:19:55.000Z (2 months ago)
- Last Synced: 2024-10-23T22:36:16.084Z (2 months ago)
- Topics: blockchain, blockchain-technology, quantum, quantum-computing, quantum-finance
- Language: Python
- Homepage: https://kosasih.github.io/neuronexus-core/
- Size: 1.44 MB
- Stars: 9
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: security/access_control/neural_network_access_control.py
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README
NeuroNexus by KOSASIH is licensed under Creative Commons Attribution 4.0 International
# neuronexus-core
The core repository for NeuroNexus, containing the AI-driven, decentralized, and self-aware network architecture.# NeuroNexus Core
The core repository for NeuroNexus, containing the AI-driven, decentralized, and self-aware network architecture.
## Overview
NeuroNexus is a revolutionary network architecture that combines the power of artificial intelligence, decentralization, and self-awareness to create a highly scalable, secure, and efficient network. This repository contains the core components of the NeuroNexus architecture, including the AI-driven network protocol, decentralized data storage, and self-aware network management.
## Features
* **AI-driven Network Protocol**: A novel network protocol that uses artificial intelligence to optimize network performance, security, and efficiency.
* **Decentralized Data Storage**: A decentralized data storage system that allows for secure, efficient, and scalable data storage and retrieval.
* **Self-aware Network Management**: A self-aware network management system that uses machine learning and artificial intelligence to monitor, analyze, and optimize network performance.## Architecture
The NeuroNexus architecture consists of the following components:
* **NeuroNexus Node**: The core component of the NeuroNexus architecture, responsible for executing the AI-driven network protocol and managing decentralized data storage.
* **NeuroNexus Network**: The decentralized network of NeuroNexus nodes that work together to provide a highly scalable, secure, and efficient network.
* **NeuroNexus Hub**: The central hub of the NeuroNexus network, responsible for managing network traffic, optimizing network performance, and providing self-aware network management.## Benefits
* **Highly Scalable**: NeuroNexus is designed to scale horizontally, allowing for a highly scalable and efficient network.
* **Secure**: NeuroNexus uses advanced security protocols and decentralized data storage to provide a highly secure network.
* **Efficient**: NeuroNexus uses AI-driven network protocol and self-aware network management to optimize network performance and efficiency.## Getting Started
To get started with NeuroNexus, follow these steps:
1. Clone the repository: `git clone https://github.com/KOSASIH/neuronexus-core.git`
2. Install the required dependencies: `pip install -r requirements.txt`
3. Run the NeuroNexus node: `python neuronexus_node.py`## Contributing
We welcome contributions to the NeuroNexus project. To contribute, follow these steps:
1. Fork the repository: `git fork https://github.com/KOSASIH/neuronexus-core.git`
2. Create a new branch: `git branch my-feature`
3. Make changes and commit: `git commit -m "My feature"`
4. Push changes: `git push origin my-feature`
5. Create a pull request: `git pull-request`## License
NeuroNexus is licensed under the Apache License, Version 2.0. See LICENSE for more information.
## Contact
For more information, please contact us at [[email protected]](mailto:[email protected]).