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105 sources in the directory · Latest publication in this list: 2026-06-22 17:53 UTC.

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2026-06-22

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

Ampersend built a pay-per-intelligence routing layer on Amazon Bedrock AgentCore Payments, enabling AI agents to autonomously pay for model services using the x402 protocol. The integration handles wallet custody, spending governance, and two-hop settlement, reducing development time from months to under two weeks.

AWS Machine Learning BlogAgents / PolicyIn-site articleBuilding pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
Embed the world: Multimodal AI for searchable aerial imagery at scale

This post explores using multimodal embeddings, LLM captioning, and vector search on AWS to turn aerial imagery into a natural-language-searchable knowledge base. A five-stage pipeline built with Amazon Bedrock and Amazon OpenSearch Serverless evaluates different embedding models, fusion strategies, captioning approaches, and search methods. Experiments show Amazon Nova Multimodal Embeddings achieve the highest F1 scores on benchmark queries. The work evolved into Vexcel Intelligence, a searchable imagery product.

AWS Machine Learning BlogModels / Research / AgentsIn-site articleEmbed the world: Multimodal AI for searchable aerial imagery at scale
Running ComfyUI workflows on Amazon SageMaker AI processing jobs

This post walks you through deploying ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. Learn to set up infrastructure using AWS CDK, configure GPU-accelerated processing, and automate image generation at scale. Adapt this solution to your own ComfyUI workflows.

AWS Machine Learning BlogAgents / ChipsIn-site articleRunning ComfyUI workflows on Amazon SageMaker AI processing jobs