This year can be considered the meta-year for AI, my brothers. I found that many of my brothers don't know that now you can stake 1u for FHE to exchange for a super luxurious Longjiang pig trotter rice meal. According to the current trend of AI development, in another six months, exchanging for a meal at Haidilao won't be a problem either.
Detailed staking process, with illustrations and text, easy to understand in three simple steps, and a pig trotter meal is at hand.
Click on assets, switch to the web3 wallet, click discover in the wallet, find (Mind Network), enter the staking channel. For those without FHE, you can first exchange some BNB for FHE in the wallet.
Click to start and begin your pig trotter meal journey.
Choose one of the three training options; the rewards are all the same, so there's no need to be indecisive about which one to choose.
Just wait for the airdrop; there will be more reward tasks later, possibly more than just a pig trotter meal.
The core of FHE (Mind Network)
(FHE), quantum resistance, and AI's Web3 privacy infrastructure, reconstructing the data security paradigm:
1. FHE Invisible Computing: Achieving 'data available but invisible' based on mathematical irreversibility, with full-process encrypted computing for sensitive data in finance/healthcare, guaranteeing 100% privacy security.
2. Quantum-Safe Foundation: Utilizing NIST standard post-quantum encryption algorithms, building a moat against quantum attacks a decade in advance;
3. AI Agent Privacy Engine: The first AI network that supports autonomous learning on encrypted data, with intelligent contracts completing inference decisions in encrypted states.
Technical essence: Re-anchoring data sovereignty on the user side through cryptography, rather than on the platform or algorithm.
[Cross-Hospital Encryption Research]
World AI Health Hub (Mind Network & ZAMA) adopts Fully Homomorphic Encryption (FHE) technology. After hospitals upload encrypted genetic data and medical records, AI analyzes disease associations directly on ciphertext, with results only decryptable by authorized parties. Example: 10 hospitals collaborating on cancer research, with zero data exposure throughout, achieving three times more efficiency.
[Personalized Health Management]
Users encrypt and upload health check data to the AI network, which combines global encrypted medical databases to generate health plans (such as diabetes dietary planning), with multiple AI agents collaborating on calculations, ensuring that original data is never touched. (Innovation: FHE encrypted stream processing framework | 'Isolated Analysis' of data | Agent-level permission control)
[Summary]
When Fully Homomorphic Encryption (FHE) transitions from the cryptographic sanctuary to practical medical AI, its essence is to build a technical foundation for human-computer trust reconstruction. The AgenticWorld architecture of Mind Network demonstrates: Encrypted data streams not only can support the IEEE 7010 ethical framework, but also transform medical data into programmable, computable, and verifiable high-value data elements - fundamentally breaking the 'black box cage' dilemma faced by traditional medical AI. As Ethereum founder Vitalik Buterin pointed out at ICLR 2024: 'The cryptographic proof system formed by FHE + blockchain is providing a mathematically certain solution to the data sovereignty issues of the AI era.'