Zama is a cryptographic toolkit enabling privacy-preserving machine learning on encrypted data. It allows developers to run computations without exposing raw information, using advanced homomorphic encryption. Researchers, financial institutions, and healthcare providers benefit by securely analyzing sensitive datasets while maintaining compliance with privacy regulations.
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