Favorite This post is a collaboration between AWS and Pipecat. Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across web, mobile, and phone channels, even under heavy traffic and unreliable network conditions. Even small delays can break the conversational flow, causing users

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Shared by AWS Machine Learning March 28, 2026

Favorite Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful insights from large volumes of video remains a major challenge. Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and

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Shared by AWS Machine Learning March 28, 2026

Favorite Building natural conversational experiences requires speech synthesis that keeps pace with real-time interactions. Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously. This new API is built for conversational

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Shared by AWS Machine Learning March 28, 2026

Favorite Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we

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Shared by AWS Machine Learning March 28, 2026

Favorite As you deploy generative AI applications to diverse user groups, you might face a significant challenge that impacts user safety and application reliability: verifying each AI response is appropriate, accurate, and safe for the specific user receiving it. Content suitable for adults might be inappropriate or confusing for children,

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Shared by AWS Machine Learning March 28, 2026

Favorite Kia ora! Customers in New Zealand have been asking for access to foundation models (FMs) on Amazon Bedrock from their local AWS Region. Today, we’re excited to announce that Amazon Bedrock is now available in the Asia Pacific (New Zealand) Region (ap-southeast-6). Customers in New Zealand can now access

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Shared by AWS Machine Learning March 28, 2026

Favorite Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as advertising, media production, education, and gaming, where customization and control of video generation is essential. To address this, we developed a Video Retrieval Augmented Generation

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Shared by AWS Machine Learning March 20, 2026

Favorite Nemotron 3 Super is now available as a fully managed and serverless model on Amazon Bedrock, joining the Nemotron Nano models that are already available within the Amazon Bedrock environment. With NVIDIA Nemotron open models on Amazon Bedrock, you can accelerate innovation and deliver tangible business value without managing

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Shared by AWS Machine Learning March 20, 2026

Favorite If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search and code execution. Amazon Nova 2 models address these constraints while improving performance on reasoning, agentic AI, and tool

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Shared by AWS Machine Learning March 18, 2026

Favorite This post is cowritten with Hammad Mian and Joonas Kukkonen  from Bark.com. When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. This post demonstrates how Bark.com and AWS collaborated to solve this problem, showing you a replicable approach for AI-powered content

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Shared by AWS Machine Learning March 18, 2026