NEAR Public Chain Introduces New Privacy Protocol: A Perfect Fusion of Performance and Privacy

A first-layer public chain that focuses on performance and scalability has recently announced a significant upgrade. This public chain will introduce advanced blind computing and blind storage technologies, integrating high performance with cutting-edge privacy tools. Subsequently, over 750 projects within the ecosystem will be able to utilize blind computing technology.

This public chain has always been known for its outstanding performance, with main features including:

• Unique sharding solution: Increases transaction throughput and reduces latency, suitable for high-performance applications.
• WebAssembly-based runtime: Supports smart contracts in multiple programming languages, attracting developers from diverse backgrounds.
• User-friendly account system: Use intuitive account names to enhance user experience.

These features have attracted a large number of developers, entrepreneurs, and creators, collectively building a thriving ecosystem.

The new privacy features combined with the efficient transaction processing of this public chain achieve the following advantages:

• Modular Data Privacy: Allows for data storage and computation to be executed within a privacy network while enabling transparent settlement on a public blockchain.
• Comprehensive private data management: Providing private storage and computing capabilities for various types of data.
• Private AI support: aligns with the public chain's focus on autonomous, user-owned AI.

This integration opens up new avenues for privacy protection applications within the ecosystem, especially in terms of AI solutions:

• Private Inference: Achieve secure inference on AI models.
• Private proxy: Provides privacy protection for AI agents.
• Federated Learning: Enhancing the privacy of decentralized dataset training.
• Private synthetic data: Protects data privacy during the training process of Generative Adversarial Networks (GAN) (.
• Private Retrieval-Enhanced Generation ) RAG (: An innovative privacy-preserving method for information retrieval.

In addition to AI, this integration has also brought new possibilities to other fields:

• Cross-chain privacy solution: Paving the way for privacy-protected cross-chain applications and asset transfers.
• Privacy-first community platform: combining the advantages of decentralization with privacy protection.
• Secure DeFi: Implement features such as private order books, confidential loan assessments, etc.
• Privacy-protecting developer tools: Provide easy-to-use privacy feature integration solutions.

By combining high-performance infrastructure with advanced privacy features, this integration is creating an environment that empowers developers to build robust, privacy-preserving applications to meet real-world needs. This will help create a new open digital economy that allows users to truly take control of their assets and data.