AI

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE

Machine learning (ML) inference often requires processing sensitive data—medical records, proprietary business information, or personal communications. What if you could run ML inference in the cloud while hiding your data from the cloud itself? More specifically, what if you could enforce that your data stayed encrypted throughout the entire ML inference process? This post will […]

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Amazon Quick ARNs: Cross-account migration and namespace permissions

You migrate dashboards from development to production, but the permissions don’t carry over. You share a dashboard with your Finance team, but they keep getting “access denied.” You set up namespaces for multi-tenant isolation, and the same username works in one namespace but not another. These are real tasks that Amazon Quick administrators tackle regularly,

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Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required

Voice agents are transforming how businesses interact with customers, handling appointment bookings, order inquiries, account management, and more through natural spoken conversation. But as these agents grow more capable, a fundamental challenge emerges: how do you test them? Unlike text-based chatbots where you can script inputs and assert outputs, voice agents operate in a fundamentally

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The crucial human component in computing and AI

On April 30, the MIT Schwarzman College of Computing’s Social and Ethical Responsibilities of Computing (SERC) initiative hosted a full-day research symposium examining how artificial intelligence is shaping the world and its implications for society.  The symposium included research talks by SERC’s latest seed grant recipients on topics such as air pollution forecasting and responsible computer vision deployment, panels on AI

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