AI

Mitigating risk: AWS backbone network traffic prediction using GraphStorm

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. It connects our 34 launched Regions (with 108 Availability Zones), our more than 600 Amazon CloudFront POPs, and 41 Local Zones and 29 Wavelength Zones, providing high-performance, ultralow-latency connectivity for mission-critical services across 245 countries and territories. […]

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New computational chemistry techniques accelerate the prediction of molecules and materials

Back in the old days — the really old days — the task of designing materials was laborious. Investigators, over the course of 1,000-plus years, tried to make gold by combining things like lead, mercury, and sulfur, mixed in what they hoped would be just the right proportions. Even famous scientists like Tycho Brahe, Robert

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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on

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Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isn’t entirely new—it has its roots in

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