NEAR introduces the Nillion privacy protocol, creating a new landscape of performance and privacy.

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NEAR Blockchain Introduces Nillion Privacy Protocol: A Perfect Combination of Performance and Privacy

Recently, the NEAR public chain announced a partnership with the privacy protocol Nillion to introduce blind computation and blind storage technologies into its ecosystem. This move combines NEAR's high performance with Nillion's advanced privacy tools, providing blind computation capabilities for over 750 projects in the NEAR ecosystem, marking a new chapter in the blockchain field where performance and privacy are equally emphasized.

NEAR Blockchain Introduces Privacy Nillion: The Intersection of Privacy and Performance

Advantages of NEAR and Nillion Integration

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

  1. Nightshade Sharding Technology: Improve transaction throughput and reduce latency
  2. WebAssembly-based runtime: Supports Rust and AssemblyScript smart contract development
  3. Readable Account System: Improve User Experience and Accessibility

By integrating Nillion's blind computing capabilities, the NEAR ecosystem will achieve:

  • Modular Data Privacy: Data storage and computation on the Nillion network, with transparent settlement on the NEAR blockchain.
  • Private Data Management: Providing private storage and computing services for various types of data.
  • Privacy-Preserving AI: Combining NEAR's autonomous AI concept to open new horizons for decentralized AI applications.

Expanding the Construction Space for Crypto Projects

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

private AI application

  • Private Inference: Protecting proprietary machine learning models and sensitive input data
  • Privacy Proxy: Ensures that AI agents do not leak user query information during operations.
  • Federated Learning: Enhancing Privacy Protection in the Decentralized Dataset Training Process
  • Private synthetic data: Protect the privacy of the underlying data during the GAN training process.
  • Privacy-Preserving Retrieval-Augmented Generation (RAG): Achieving secure information retrieval and semantic search

cross-chain privacy solution

Leverage the interoperability advantages of NEAR to provide privacy protection for cross-chain applications and asset transfers.

privacy-first community platform

Achieve private storage of content and social relationships, while providing personalized recommendations, anonymous voting, and secure fund management.

Secure DeFi

Enhance the security and privacy of the NEAR DeFi ecosystem through features such as private order books, confidential loan assessments, and hidden liquidity pools.

Privacy Protection Developer Tools

Provide privacy-focused tools and APIs to simplify the process for developers to integrate advanced privacy features into their applications.

Looking to the Future

The collaboration between NEAR and Nillion will create an ideal environment for developers to build powerful, privacy-protecting applications that meet the needs of the real world. This innovation will help foster a new type of open digital economy, allowing users to truly control their assets and data. As this technology continues to evolve, we have reason to expect more groundbreaking privacy-protecting applications to emerge within the NEAR ecosystem, driving blockchain technology towards a more secure, transparent, and user-friendly direction.

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0xSleepDeprivedvip
· 07-07 00:20
Privacy is king, the future is promising.
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ForumLurkervip
· 07-05 20:17
Security is key.
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NoodlesOrTokensvip
· 07-05 07:18
Privacy encryption is essential.
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HalfPositionRunnervip
· 07-04 16:38
Privacy is fundamental.
View OriginalReply0
BottomMisservip
· 07-04 16:38
Worth long term observation
View OriginalReply0
TxFailedvip
· 07-04 16:14
Password fren followed
View OriginalReply0
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