Google is making private AI practical with homomorphic encryption

Google is making private AI more practical using homomorphic encryption, a technique that allows computations to be performed on encrypted data without decrypting it. This breakthrough has significant implications for data privacy and security. It enables AI models to be trained and used on sensitive data without exposing it. This could be especially useful in industries like healthcare and finance. Google is open-sourcing its homomorphic encryption library to facilitate further development.