NEAR Public Chain Introduces Privacy Technology: A Combination of Performance and Privacy

Recently, a company focused on privacy protocols announced the introduction of blind computation and blind storage technology to the NEAR public chain. This integration combines NEAR's high performance with advanced privacy tools, allowing numerous projects within the NEAR ecosystem to leverage blind computation technology.

NEAR, as a mature L1 blockchain network, has always been renowned for its outstanding performance. Its main features include:

• Nightshade Sharding Technology: This is NEAR's unique sharding solution that can improve transaction throughput and reduce latency, making it very suitable for high-performance applications.
• WebAssembly-based runtime: NEAR's virtual machine supports writing smart contracts using Rust and AssemblyScript, attracting developers from various backgrounds.
• Highly readable account system: NEAR uses intuitive account names, improving user experience and accessibility.

These features have attracted a large number of developers, entrepreneurs, and creators, who together have built a thriving ecosystem with hundreds of applications.

The following advantages are achieved by combining blind computing capabilities with NEAR's efficient transaction processing:

• Modular Data Privacy: Privacy features can be seamlessly integrated with NEAR, allowing for modular execution of data storage and computation operations within dedicated networks, while enabling transparent settlement on the NEAR blockchain. This modularity provides developers with greater flexibility when designing application architectures.
• Private Data Management: By providing private storage and computation for various types of data, NEAR's capabilities are extended. This significantly broadens the design space for privacy-preserving applications within the NEAR ecosystem, enabling developers to build solutions that were previously constrained by privacy issues.
• Private AI: NEAR's focus on autonomous, user-owned AI complements private storage and computing capabilities, opening up vast new design space for decentralized AI.

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

• Private Inference: Enables secure inference on AI models, providing protection for proprietary machine learning models and users supplying sensitive inputs to them.
• Private Agents: With the rise of AI agents, privacy solutions are becoming increasingly important. Supporting intent classification can ensure that users do not disclose sensitive information while using the agent.
• Federated Learning: Enhancing privacy by protecting the aggregation process to ensure that sensitive information derived during training remains confidential.
• Private synthetic data: can serve as a solution to protect the privacy of the underlying data during GAN training.
• Private Retrieval-Augmented Generation (RAG): Enables novel privacy-preserving methods for information retrieval, facilitating secure storage of vectors at rest and semantic search evaluation.

In addition to the AI field, this integration also brings opportunities to other areas:

• Cross-chain privacy solutions: Can pave the way for privacy-protecting cross-chain applications and asset transfers.
• Privacy-first community platform: Decentralized communities can benefit from privately stored content and social graphs, achieving personalized recommendations while protecting user privacy.
• Secure DeFi: Enables private order books, confidential loan assessments, and hidden liquidity pools, enhancing the security and privacy of the continuously growing DeFi ecosystem on NEAR.
• Privacy-focused developer tools: Enhance NEAR's developer-friendly environment by providing privacy-centric tools and APIs.

By combining NEAR's high-performance infrastructure with advanced privacy features, an environment is being created where developers can build powerful, privacy-protecting applications to meet real-world needs. This will help create a new open digital economy, enabling people to better control their assets and data.