2. How does MeshNode contribute to decentralized AI?

MeshNode supports decentralized AI by providing infrastructure for data processing and model development. Key contributions include:

• Decentralized Data Storage and Processing:

- Distributing AI data across the network for enhanced security.

• Distributed Computing Power:

- Facilitating model training using shared computational resources.

• Enhanced Security and Privacy:

- Incorporating technologies like homomorphic encryption.

• Reducing Centralized Dependency:

- Democratizing access to AI development and decision-making.

• Incentivizing Participation:

- Offering rewards to MeshNode operators.

• Practical AI Applications:

- Supporting AI on edge devices.

- Enabling decentralized AI apps.

• Transparent Model Operations:

- Using blockchain to track AI model development and usage.