AI

Amazon Quick is an AI-powered unified intelligence service that connects structured data and unstructured enterprise content so teams can explore, analyze, and act from one place. Amazon Quick Sight, the business intelligence (BI) capability within Amazon Quick, delivers interactive dashboards, natural language querying, pixel-perfect reports, machine learning (ML)-driven insights, and embedded analytics. Topics in Quick […]

Building an AI agent that edits images based on natural language requires an orchestration loop, tool routing, memory management, and a compute environment to run it all. Amazon Bedrock AgentCore harness handles that entire stack with configuration. You declare what the agent does, and the harness runs it in a stateful, isolated microVM with built-in

The effectiveness and accuracy of machine learning (ML) models decreases almost as soon as the training job finishes. Changes in consumer behavior, releases of new products, upgrades in sensor technology, and a shifting economic and political landscape are all examples of uncontrollable factors that change the patterns and probabilities the model learned during training. By

Managing AWS infrastructure often means switching between consoles, searching documentation, and manually creating support cases. For each incident, an engineer opens the AWS Management Console, checks Amazon CloudWatch, searches AWS documentation, reviews community posts, and files a support case. This context-switching adds up to 30–45 minutes per investigation before resolution work begins. In this post,

Claude Cowork now keeps working on tasks even after you close your laptop. It’s part of a larger push toward smartphone-controlled agents.

Professor Jesse Thaler has been named director of the MIT Laboratory for Nuclear Science (LNS), effective Aug. 1. He succeeds Professor Bolek Wyslouch, who directed LNS for the past decade. Thaler is a theoretical particle physicist who combines techniques from quantum field theory and machine learning to address outstanding questions in fundamental physics.  “In his

You can clip a cover over the cameras, which could be a double-edged sword.

Norwegian striker Erling Haaland isn’t just a footballer anymore. He’s become an internet character perpetuated by fans and AI.

The lab will beam back data to train AI models to predict how proteins behind age-related diseases like Alzheimer’s and certain cancers behave.

Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a single selection. Whether you fine-tune a foundation model (FM) from Amazon SageMaker JumpStart or deploy it to an Amazon SageMaker Inference endpoint, you can now