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Original author: Advait (Leo) Jayant Compilation: LlamaC "Recommended message: Fully Homomorphic Encryption (FHE) is often hailed as the holy grail of cryptography. This article explores the prospects of FHE in the field of artificial intelligence, pointing out the current limitations. It also lists some projects dedicated to using fully homomorphic encryption (FHE) in the field of encryption for AI applications. For Crypto enthusiasts, this article provides an in-depth understanding of Fully Homomorphic Encryption. Enjoy!" Main text👇 A wants highly personalized recommendations on Netflix and Amazon. B doesn't want Netflix or Amazon to know their preferences. In today's digital age, we enjoy Amazon and Netflix.

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AI + web3, worth looking forward to?

FHE: The Future of Privacy Computing Fully Homomorphic Encryption ( FHE ) is an advanced encryption technology that allows for computation directly on encrypted data, enabling data processing under privacy protection. FHE has broad application prospects in various fields such as finance, healthcare, and cloud computing, but it still faces challenges such as high computational overhead and poor scalability, and it will take some time before it can be commercially used on a large scale. Basic Principles of FHE The core of FHE is to encrypt the plaintext information through polynomial encryption and perform calculations in the encrypted state. The specific steps include: 1. Select the key polynomial 2. Generate random polynomials 3. Add a small "error" polynomial as noise 4. Use the above polynomial to encrypt the original text. The decryption requires a secret key polynomial, ensuring security. However, repeated calculations can lead to noise accumulation, affecting decryption. To address this issue, FHE employs the following key technologies: - Key cut

At the Pop-X HK event in Hong Kong, Vitalik Buterin discussed the POS upgrade of Ethereum, Layer 2 security, and the integration of Cryptography and AI. He stated that the value of Ethereum is closely related to its application effectiveness, predicting that Layer 1 will enhance scalability, and hopes developers can create sustainable applications to promote the social impact of Blockchain and AI.