AI Autonomous Decision-Making and Computational Support

1. Computational Support from AI Node Layer

• Distributed AI Computational Power: The AI node layer of the TCASH public chain consists of multiple global nodes, providing robust distributed computing capabilities to support the operation of complex AI models.

• Efficient Computing: Advanced hardware equipment and optimized algorithms ensure the efficient operation and rapid response of AI models.

2. AI Automatic Decision-Making and Risk Identification

• Profit Maximization Strategy: AI models analyze the native tokens and issued tokens of various main chains in real time. Based on market conditions and yield rates, they select the optimal staking combinations.

• Risk Identification and Management: Using machine learning and deep learning, AI identifies potential market, technical, and operational risks, providing early warnings and adjusting strategies accordingly.

• Intelligent Staking Execution: Based on AI decision-making results, staking operations are executed automatically to ensure timeliness and accuracy.