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ExternalAI
NVIDIA Technical Blog

Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron

Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context,... Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context, determines the correct procedure, checks whether a specialist signal confirms the failure mode, and writes up a recommendation. This process remains consistent, and is well-suited

NVIDIA Technical BlogRead original
ExternalAI
NVIDIA Technical Blog

Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial

Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to... Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to acquire wireless spectrum. A goal of a radio access network (RAN) system is to extract the maximum spectral efficiency (bits/second/Hertz) possible, which translates into more capacity, str

NVIDIA Technical BlogRead original
External
AWS Machine Learning Blog

Build a serverless image editing agent with Amazon Bedrock AgentCore harness

This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK).

Advanced (300)Amazon BedrockAmazon Bedrock AgentCore
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Monitoring discriminative ML models using Amazon SageMaker AI with MLflow

Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows how you can use open source Evidently together with Amazon SageMaker AI to generate monitoring reports, organize and compare the results in MLflow, scale through pipelines, and trigger drift notifications.

Advanced (300)Amazon EventBridgeAmazon SageMaker AI
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Build an AI-powered AWS support companion with Amazon Bedrock AgentCore

In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and inclu

Advanced (300)Amazon BedrockAmazon Bedrock AgentCore
AWS Machine Learning BlogRead original
ExternalDatabase
AWS Database Blog

Logical replication improvements in Amazon RDS for PostgreSQL 18

In this post, we demonstrate how to use the PostgreSQL 18 logical replication improvements on RDS for PostgreSQL: replicating STORED generated columns with the publish_generated_columns parameter, monitoring conflicts through the new counters in pg_stat_subscription_stats, verifying that parallel streaming is enabled by default, toggling two-phase commit on a running subscription, and configuring idle_replication_slot_timeout for automatic slot cleanup. These features are available on RDS for Po

Amazon AuroraIntermediate (200)PostgreSQL compatible
AWS Database BlogRead original

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