Discover how smart cities use modern technologies like Artificial Intelligence, Internet of Things (IoT), and cloud computing to improve urban life, reduce pollution, manage traffic, and create a sustainable future.

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos 5.2 to eligible customers in AWS GovCloud (US). Claude Mythos 5.2 is Anthropic's most advanced AI model to date for use cases across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability. It can also comprehend large codebases and deliver actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address them before threats emerge. Claude Mythos 5.2 is the first of Anthropic's AI models with powerful cybersecurity capabilities to be available in AWS GovCloud (US). Claude Mythos 5.2 is available to eligible customers in AWS GovCloud (US) Regions through https://aws.amazon.com/bedrock/anthropic/. Access is limited to allow-listed organizations; to get started, visit https://support.claude.com/en/articles/14604842-cyber-verification-program. 

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos 5.2 to eligible customers in AWS GovCloud (US). Claude Mythos 5.2 is Anthropic's most advanced AI model to date for use cases across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability. It can also comprehend large codebases and deliver actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address them before threats emerge. Claude Mythos 5.2 is the first of Anthropic's AI models with powerful cybersecurity capabilities to be available in AWS GovCloud (US). Claude Mythos 5.2 is available to eligible customers in AWS GovCloud (US) Regions through Amazon Bedrock. Access is limited to allow-listed organizations; to get started, visit Anthropic's Cyber Verification Program.

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos 5.2 to eligible customers in AWS GovCloud (US). Claude Mythos 5.2 is Anthropic's most advanced AI model to date for use cases across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability. It can also comprehend large codebases and deliver actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address them before threats emerge. Claude Mythos 5.2 is the first of Anthropic's AI models with powerful cybersecurity capabilities to be available in AWS GovCloud (US). Claude Mythos 5.2 is available to eligible customers in AWS GovCloud (US) Regions through Amazon Bedrock. Access is limited to allow-listed organizations; to get started, visit Anthropic's Cyber Verification Program. 

When I started studying AI and cloud, I believed machine learning was only for people with PhDs, powerful GPUs, and years of math behind them. I was wrong. AWS offers managed services that let you build real AI projects with a few clicks and a few lines of code. This article walks through the five services that changed how I think about ML, and a simple project you can build yourself.

Score brand mentions with Amazon Comprehend in your AWS account, and alert your team when negative sentiment rises above each brand's baseline.

How can applications understand human emotions, identify important information, and extract meaning from thousands of text documents? Amazon Comprehend makes this possible using Natural Language Processing (NLP) and machine learning. Explore sentiment analysis, entity recognition, key phrase extraction, and real-world applications of AI-powered text analytics on AWS.

Learn how to turn raw text into structured insight without managing servers. This walkthrough uses Amazon S3, AWS Lambda, Amazon Comprehend and DynamoDB to detect language, sentiment, entities and key phrases, with the code, IAM setup, cost notes and common pitfalls.

AWS Map App is an interactive map-based web application developed using HTML, CSS, and JavaScript. This project helped me gain practical experience in frontend development, GitHub version control, and deploying a web application using GitHub Pages. It represents another step in my journey of exploring web development and cloud computing. 🚀

Découvrez Amazon Web Services (AWS), une plateforme cloud qui permet aux entreprises et aux développeurs d’héberger des applications, de stocker des données et de déployer des infrastructures informatiques de manière flexible et évolutive

Learn how to turn raw text files into searchable sentiment, entities, and key phrases using an event-driven pipeline on S3, Lambda, Comprehend, and DynamoDB, deployed with AWS SAM. Includes the full code, least-privilege IAM, and production hardening tips.

Starting with AWS is exciting, but creating cloud resources is only one part of the learning journey. Understanding billing, monitoring usage, setting budgets, and cleaning up unused resources are equally important. This article shares practical habits that help beginners learn AWS responsibly while avoiding unexpected costs.

Keep your coding streak alive with three highly creative, unconventional weekend projects. Learn how to build an AI dream interpreter, a plant health translator, and a custom gaming voice pack generator using ready-made AWS AI tools.

Dive into Natural Language Processing (NLP): Learn how to build a serverless API that analyzes hidden sentiments in text using Amazon Comprehend and AWS Lambda.

AWS Glue vs Amazon EMR compared learn the key differences, use cases, and which ETL service fits your data pipeline best.

I built Semantic Memory Steward (SMS), an AWS-native data-governance agent that turns passive Amazon S3 storage into actively governed semantic memory. This post covers my journey building it with Strands Agents, Amazon Bedrock, Comprehend, DynamoDB, S3 Vectors, and a deterministic human-in-the-loop safety architecture.

Master AWS AI services: SageMaker, Lambda, Rekognition & more. Real Python code, 5 hands-on projects, production-ready. Instant PDF download — $34.99.

“ I have checked the documents of AWS to deep dive on entity recognition job creation using amazon...

This application helps you process and analyze documents by extracting text, organizing data into tables, and generating detailed logs. You need to provide document files, and the app outputs organ...