NEAR Chain Introduces New Privacy Technology to Enhance Performance and Privacy Protection

Recently, a new privacy protocol announced the introduction of its blind computation and blind storage technology to the NEAR public blockchain. This integration aims to combine NEAR's high performance with advanced privacy tools to provide blind computation capabilities for numerous projects within the NEAR ecosystem.

NEAR, as a mature L1 blockchain network, is known for its outstanding performance. Its main features include:

1. Nightshade sharding technology, increasing transaction throughput and reducing latency.
2. WebAssembly-based runtime, supporting Rust and AssemblyScript smart contract development.
3. Readable account system, optimizing user experience

These features have attracted a large number of developers and innovators, who together have built a thriving application ecosystem.

The new privacy technology combined with NEAR's efficient transaction processing enables the following features:

• Modular Data Privacy: Allows flexible execution of data storage and computation operations in a privacy network while enabling transparent settlement on the NEAR blockchain.
• Private Data Management: Provides private storage and computing capabilities for various types of data, expanding the design space for privacy protection applications.
• Private AI Support: In line with NEAR's focus on autonomous AI, it opens up new development directions for decentralized AI.

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

1. Private AI Inference: Protect proprietary machine learning models and sensitive input data
2. Private AI Agent: Ensure that users do not disclose sensitive information when using the AI agent.
3. Privacy-Preserving Federated Learning: Enhancing Data Privacy During the Training Process
4. Private synthetic data generation: Protecting the privacy of the underlying data during GAN training.
5. Private Retrieval-Augmented Generation (RAG): A privacy-preserving information retrieval method.

In addition, this technology can also be applied in areas such as cross-chain privacy solutions, privacy-first community platforms, secure DeFi services, and developer tools that protect privacy.

By combining NEAR's high-performance infrastructure with advanced privacy features, an ideal environment has been created for developers to build powerful and privacy-protecting applications. This advancement is expected to drive the creation of a new open digital economy, allowing users to better control their assets and data.