Advancing Private AI Compute with secure, server-side memory
Google DeepMind introduces persistent, private server-side memory for its Private AI Compute architecture using secure enclaves and device-held keys.
Google DeepMind details an update to Private AI Compute enabling persistent, cross-device AI memory in the cloud. The system uses a secure enclave and device-derived encryption keys to keep user data encrypted and inaccessible to Google. This allows cloud-scale AI to maintain long-term context while upholding on-device privacy standards.
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