Technical Architecture

Technical Architecture

RICE AI is a decentralized, multi-layered ecosystem for data collection, identity verification, AI model creation, and marketplace interactions.

Here is a breakdown of the layers and interactions:

1. Application Layer:

   • Involves End Users and Data Customers (e.g., companies, developers, and researchers).

   • End users provide and review data.

   • Data customers purchase features, AI algorithms, and other offerings.

2. Identity Layer:

   • DIC (Decentralized Identity Certification) ensures identity verification for secure participation in the ecosystem.

3. Data Layer:

   • Handles Data Collection, Preprocessing, and Classification.

   • Includes RICE AI models, which are datasets and AI models listed on the marketplace.

4. DePIN (Decentralized Physical Infrastructure Network) Layer:

   • Manages blockchain processes such as tokenization, smart contracts, storage, GPU power allocation, and verification.

Resource, Service, and Token Flow in the Ecosystem

The following shows the key participants and processes in the RICE AI ecosystem. It describes the use of shared resources, tokenized rewards, and a marketplace for AI models, datasets, and intellectual property.

Data Flow

The data flow within the RICE AI ecosystem involves end users and third-party contributors providing data, GPU resources, and algorithms. These are processed by the Minibot M1 and integrated into the RICE AI platform for use in the marketplace. All interactions are securely facilitated by Personal Certification and supported by the decentralized infrastructure (DePIN).