According to Binance, Fully Homomorphic Encryption (FHE) enables computing on encrypted data so firms can process information without seeing raw inputs, supporting private analytics and secure AI; source: Binance. Binance Academy released an explainer on FHE emphasizing privacy-preserving data processing as a foundation for confidential analytics and AI workflows; source: Binance. For crypto market participants, this highlights privacy-focused infrastructure that is relevant to integrating analytics and AI with blockchain services; source: Binance.

According to @OnchainDataNerd, Privasea, a privacy-preserving machine learning project using Fully Homomorphic Encryption, will start accepting reservations for its node sale from July 10th. The project is backed by Binance Labs and OKX Ventures, highlighting its credibility and potential in the market.