#MindNetwork全同态加密FHE重塑AI未来 Practical applications of MindNetwork's FHE technology Financial analysis 2: In the financial analysis multi-agent system of MindV Hub, gateway agents assign various financial analysis tasks to specialized analysis agents. After completing their tasks, the results remain encrypted and are sent to the cluster contract. By integrating AI technology frameworks such as FHE and Swarms, the multi-agent system ensures security while maintaining efficiency in processing various sensitive financial data, allowing for verification of the accuracy and consistency of results without decrypting the data.
Healthcare 8: Mind Network partnered with InfStones to launch a global AI health center. This center uses FHE technology to encrypt sensitive health data, allowing AI to process this data and generate valuable insights while ensuring data privacy is not compromised. Users can securely input symptoms and receive health predictions by encrypting data through FHE technology. Moreover, the platform is designed to be extensible to other application scenarios, such as anonymous facial recognition for KYC processes and market sentiment analysis, while protecting intellectual property.
Multi-agent collaboration 2: In content creation, research agents are responsible for data collection, writing agents create content, and editing agents ensure quality. Through FHE technology, all three collaborate, cross-validate, and reach consensus without exposing sensitive information, ensuring the accuracy and completeness of the content. In medical diagnosis scenarios, multiple specialized agents such as AI for image analysis, AI for assessing the function and health of internal organs, and AI for interpreting laboratory indicators work collaboratively using FHE technology. Each agent can focus on its specialty while achieving efficient collaboration through secure data sharing, ultimately providing a comprehensive diagnosis and treatment plan.
Cloud computing 1: In the cloud computing scenario, Mind Network's FHE technology allows users to delegate encrypted data to cloud service providers for computation. The cloud providers complete tasks such as analysis without decrypting the data and return the encrypted results to users, with only users possessing the decryption keys, thereby ensuring the security and privacy of the data during the cloud computing process.
Cross-chain transaction 6: Mind Network launched the first institutional-level FHE interface based on Chainlink CCIP, showcasing its privacy technology on testnets such as Ethereum Sepolia, Arbitrum Sepolia, and Polygon Amoy. Through this interface, the security and privacy protection of cross-chain transactions are realized, handling a large number of transactions and providing secure cross-chain solutions for regulated intermediary institutions in the financial and capital markets.