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Build a protein research copilot with Amazon Bedrock AgentCore

Protein researchers face a time-consuming challenge: manually searching through thousands of peptide sequences to find structurally similar candidates is slow, error-prone, and requires deep domain expertise to interpret results. Building a protein research copilot can transform how researchers search for structurally similar peptides across large datasets — enabling natural language queries, automated embedding generation, and …

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Verifiable, private AI: Google Cloud expands Confidential Computing frontiers

Protecting sensitive data used with AI is a critical part of our commitment to providing advanced and secure cloud infrastructure. Confidential Computing cryptographically protects data in use in hardware-based Trusted Execution Environments (TEEs) with verifiable data integrity.  We are thrilled to share our latest Confidential Computing innovations across our hardware ecosystem that help further strengthen …

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Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix

By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh Azarnoush Introduction At Netflix, we build technology to help storytellers bring their creative visions to life and to help members discover the stories they love. To connect stories with diverse audiences around the world, we produce promotional assets, including trailers, teasers, and social short‑form videos, that build on …

Mouse moves unlock realistic AI video control with no extra computing cost

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers unprecedented control over the movement of objects and characters in AI-generated videos using nothing more than mouse movements, eliminating the need for complex and expensive infrastructure or training …