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Ambisonics is a spatial audio format describing a sound field. First-order Ambisonics (FOA) is a popular format comprising only four channels. This limited channel count comes at the expense of spatial accuracy. Ideally one would be able to take the efficiency of a FOA format without its limitations. We have devised a data-driven spatial audio …
Read more “Ambisonics Super-Resolution Using A Waveform-Domain Neural Network”
Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants, users, and use cases. Using the …
Read more “Cost tracking multi-tenant model inference on Amazon Bedrock”
Application owners are looking for three things when they think about optimizing cloud costs: What are the most expensive resources? Which resources are costing me more this week or month? Which resources are poorly utilized? To help you answer these questions quickly and easily, we announced Cloud Hub Optimization and Cost Explorer, in private preview, …
Read more “Optimize your cloud costs using Cloud Hub Optimization and Cost Explorer”
Deep Think utilizes extended, parallel thinking and novel reinforcement learning techniques for significantly improved problem-solving.
At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation models (FMs) are trained on large but static datasets and need …
Read more “Introducing Amazon Bedrock AgentCore Browser Tool”
The field of video generation has made remarkable advancements, yet there remains a pressing need for a clear, systematic recipe that can guide the development of robust and scalable models. In this work, we present a comprehensive study that systematically explores the interplay of model architectures, training recipes, and data curation strategies, culminating in a …
Read more “STIV: Scalable Text and Image Conditioned Video Generation”
Working Together to Accelerate AI Adoption On July 23, 2025, the White House unveiled “Winning the AI Race: America’s AI Action Plan,” a bold roadmap to secure US leadership in artificial intelligence by driving innovation, building new critical infrastructure, and refocusing global diplomacy. This much-needed plan, backed by President Trump’s executive orders, outlines over 90 federal …
Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to …
Read more “Introducing AWS Batch Support for Amazon SageMaker Training jobs”
Imagine a code review process that doesn’t slow you down. Instead of a queue of pending pull requests, you have an intelligent assistant that provides a near-instant, comprehensive summary of every change. It flags potential bugs, suggests improvements based on best practices, and frees up your human reviewers to focus on the complex architectural decisions …
Read more “A deep dive into code reviews with Gemini Code Assist in GitHub”
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring