promt encryption diagrammax 1000x1000 1

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 …

13 5ISo6KHihlsjf389wi8A

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 …

amopersand

Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments

This post was co-written with Kevin Jones from Ampersend (Edge & Node) and Chethan Shriyan from the Amazon Bedrock AgentCore Payments team. Ampersend and Amazon Bedrock AgentCore Payments are addressing one of the hardest problems in agentic AI. How do autonomous agents pay for services without developers building bespoke billing integrations, credential management, and payment …