AI

Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to […]

Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents, creating assistants that fetch data from APIs, or developing agents that

As organizations seek to derive greater value from their AWS Support data, operational teams are looking for ways to transform raw support cases and health events into actionable insights. While traditional analytics tools can provide basic reporting capabilities, teams need more sophisticated solutions that can understand and process natural language queries about their operational data.

The Amazon Strands Agents SDK is an open source framework for building AI agents that emphasizes a model-driven approach. Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. Developers can create an agent with a prompt (defining the agent’s role

Behind closed doors, Chinese researchers are laying the groundwork for a new global AI agenda—without input from the US.

“Tavily is now available on AWS Marketplace and integrates natively with Amazon Bedrock AgentCore Gateway. This makes it even faster for developers and enterprises to embed real-time web intelligence into secure, AWS-powered agents.” As enterprises accelerate their AI adoption, the demand for agent frameworks that can autonomously gather, process, and synthesize information has increased. Traditional

On September 15, WIRED is gathering a panel of leaders across technology, politics, and media to tell you everything you need to know about the future of generative AI.

Meta CEO Mark Zuckerberg told investors that his new research lab will focus on building AI models that can learn with minimal human input.

Part of Google Earth Engine, AlphaEarth Foundations is a chip off Google’s DeepMind AI block—and it’s here to help save the world.

RunSybil, a startup founded by OpenAI’s first security researcher, deploys agents that probe websites for vulnerabilities—part of a new AI era for cybersecurity.