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  • Customize AI agent browsing with proxies, profiles, and extensions in Amazon Bedrock AgentCore Browser

    calendar Feb 13, 2026 · aws.amazon.com/blogs/machine-learning
    Customize AI agent browsing with proxies, profiles, and extensions in Amazon Bedrock AgentCore Browser

    Today, we are announcing three new capabilities that address these requirements: proxy configuration, browser profiles, and browser extensions. Together, these features give you fine-grained control over how your AI agents interact with the web. This post will walk through each capability with configuration examples …


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  • AI meets HR: Transforming talent acquisition with Amazon Bedrock

    calendar Feb 12, 2026 · aws.amazon.com/blogs/machine-learning
    AI meets HR: Transforming talent acquisition with Amazon Bedrock

    In this post, we show how to create an AI-powered recruitment system using Amazon Bedrock, Amazon Bedrock Knowledge Bases, AWS Lambda, and other AWS services to enhance job description creation, candidate communication, and interview preparation while maintaining human oversight. Link to article: …


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  • Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration

    calendar Feb 12, 2026 · aws.amazon.com/blogs/machine-learning
    Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration

    In this post, we provide you with a comprehensive approach to achieve this. First, we introduce a context message strategy that maintains continuous communication between servers and clients during extended operations. Next, we develop an asynchronous task management framework that allows your AI agents to initiate …


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  • NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart

    calendar Feb 11, 2026 · aws.amazon.com/blogs/machine-learning
    NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart

    Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage …


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  • Mastering Amazon Bedrock throttling and service availability: A comprehensive guide

    calendar Feb 11, 2026 · aws.amazon.com/blogs/machine-learning
    Mastering Amazon Bedrock throttling and service availability: A comprehensive guide

    This post shows you how to implement robust error handling strategies that can help improve application reliability and user experience when using Amazon Bedrock. We'll dive deep into strategies for optimizing performances for the application with these errors. Whether this is for a fairly new application or matured AI …


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  • Swann provides Generative AI to millions of IoT Devices using Amazon Bedrock

    calendar Feb 11, 2026 · aws.amazon.com/blogs/machine-learning
    Swann provides Generative AI to millions of IoT Devices using Amazon Bedrock

    This post shows you how to implement intelligent notification filtering using Amazon Bedrock and its gen-AI capabilities. You'll learn model selection strategies, cost optimization techniques, and architectural patterns for deploying gen-AI at IoT scale, based on Swann Communications deployment across millions of …


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  • How LinqAlpha assesses investment theses using Devil’s Advocate on Amazon Bedrock

    calendar Feb 11, 2026 · aws.amazon.com/blogs/machine-learning
    How LinqAlpha assesses investment theses using Devil’s Advocate on Amazon Bedrock

    LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. The system supports and streamlines agentic workflows across company screening, primer generation, stock price catalyst mapping, and now, pressure-testing investment ideas through a new AI agent called Devil’s Advocate. In …


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  • How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers

    calendar Feb 10, 2026 · aws.amazon.com/blogs/machine-learning
    How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers

    In this post, we discuss how Amazon Nova in Amazon Bedrock can be used to implement an AI-powered image recognition solution that automates the detection and validation of module components, significantly reducing manual verification efforts and improving accuracy. Link to article: …


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  • Iberdrola enhances IT operations using Amazon Bedrock AgentCore

    calendar Feb 10, 2026 · aws.amazon.com/blogs/machine-learning
    Iberdrola enhances IT operations using Amazon Bedrock AgentCore

    Iberdrola, one of the world’s largest utility companies, has embraced cutting-edge AI technology to revolutionize its IT operations in ServiceNow. Through its partnership with AWS, Iberdrola implemented different agentic architectures using Amazon Bedrock AgentCore, targeting three key areas: optimizing change request …


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  • Building real-time voice assistants with Amazon Nova Sonic compared to cascading architectures

    calendar Feb 10, 2026 · aws.amazon.com/blogs/machine-learning
    Building real-time voice assistants with Amazon Nova Sonic compared to cascading architectures

    Amazon Nova Sonic delivers real-time, human-like voice conversations through the bidirectional streaming interface. In this post, you learn how Amazon Nova Sonic can solve some of the challenges faced by cascaded approaches, simplify building voice AI agents, and provide natural conversational capabilities. We also …


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  • Automated Reasoning checks rewriting chatbot reference implementation

    calendar Feb 9, 2026 · aws.amazon.com/blogs/machine-learning
    Automated Reasoning checks rewriting chatbot reference implementation

    This blog post dives deeper into the implementation architecture for the Automated Reasoning checks rewriting chatbot. Link to article: https://aws.amazon.com/blogs/machine-learning/automated-reasoning-checks-rewriting-chatbot-reference-implementation/


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  • Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI

    calendar Feb 9, 2026 · aws.amazon.com/blogs/machine-learning
    Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI

    In this post, we show how this integrated approach transforms enterprise LLM fine-tuning from a complex, resource-intensive challenge into a streamlined, scalable solution for achieving better model performance in domain-specific applications. Link to article: …


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  • New Relic transforms productivity with generative AI on AWS

    calendar Feb 9, 2026 · aws.amazon.com/blogs/machine-learning
    New Relic transforms productivity with generative AI on AWS

    Working with the Generative AI Innovation Center, New Relic NOVA (New Relic Omnipresence Virtual Assistant) evolved from a knowledge assistant into a comprehensive productivity engine. We explore the technical architecture, development journey, and key lessons learned in building an enterprise-grade AI solution that …


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  • Accelerate agentic application development with a full-stack starter template for Amazon Bedrock AgentCore

    calendar Feb 9, 2026 · aws.amazon.com/blogs/machine-learning
    Accelerate agentic application development with a full-stack starter template for Amazon Bedrock AgentCore

    In this post, you will learn how to deploy Fullstack AgentCore Solution Template (FAST) to your Amazon Web Services (AWS) account, understand its architecture, and see how to extend it for your requirements. You will learn how to build your own agent while FAST handles authentication, infrastructure as code (IaC), …


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  • Agent-to-agent collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for multi-agent systems

    calendar Feb 9, 2026 · aws.amazon.com/blogs/machine-learning
    Agent-to-agent collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for multi-agent systems

    This post walks through how agent-to-agent collaboration on Amazon Bedrock works in practice, using Amazon Nova 2 Lite for planning and Amazon Nova Act for browser interaction, to turn a fragile single-agent setup into a predictable multi-agent system. Link to article: …


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