NEAR Blockchain Introduces Privacy Technology, Merging Performance and Privacy

Recently, an important technology integration has brought new privacy features to the NEAR public blockchain. This integration introduces blind computation and blind storage into the NEAR ecosystem, which is known for its speed and scalability. This upgrade enables over 750 projects in the NEAR network to leverage advanced privacy tools, providing users with a more secure and private experience.

NEAR, as a mature Layer 1 blockchain network, has been renowned for its outstanding performance. Its core features include Nightshade sharding technology, WebAssembly-based smart contract runtime, and a user-friendly readable account system. These features have attracted numerous developers and innovators, who together have created a thriving ecosystem for NEAR.

The introduction of this privacy technology brings several key advantages to NEAR:

1. Modular Data Privacy: Developers can flexibly store and compute data within the privacy network while completing transparent settlements on the NEAR blockchain.

2. Private Data Management: The new privacy layer provides secure storage and computing capabilities for various types of data, significantly expanding the possibilities for privacy applications on NEAR.

3. Private AI Support: This integration aligns with NEAR's vision of autonomous, user-controlled AI, paving the way for the development of decentralized AI.

This technology integration has opened up multiple new areas for privacy applications within the NEAR ecosystem, especially in terms of AI solutions:

• Private AI Inference: Protecting the privacy of proprietary machine learning models and user inputs.
• Private AI Agent: Ensures that users do not disclose sensitive information while using the AI agent.
• Federated Learning: Achieving model training on decentralized datasets while protecting privacy.
• Private synthetic data: Generate high-quality synthetic data by protecting data privacy during the GAN training process.
• Private Retrieval-Augmented Generation (RAG): Achieve privacy-preserving information retrieval that supports secure semantic search.

In addition to the AI field, this integration has also brought new possibilities for other application scenarios:

• Cross-chain privacy solutions: Providing privacy protection for asset transfers and application interactions between different blockchains.
• Privacy-first community platform: Achieving private storage of content and social relationships while supporting personalized recommendations.
• Secure DeFi applications: Support for features such as private order books, privacy loan assessments, and hidden liquidity pools.
• Privacy Protection Development Tools: Provide developers with easy-to-use privacy APIs to simplify the integration process of privacy features.

By combining NEAR's high-performance infrastructure with advanced privacy technologies, this episode creates an ideal environment for developers to build applications that are both powerful and privacy-focused. This not only meets the demands of the real world but also paves the way for the creation of a new type of open digital economy, allowing users to truly take control of their assets and data.

With the in-depth application of this technology, we can expect to see more innovative and privacy-protecting solutions emerging in the NEAR ecosystem, driving blockchain technology towards a more secure, transparent, and user-friendly direction.