AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

3231历史快讯
177开源工具
10当前结果
08 月 31 日 2026-08-31 快讯

AWS Machine Learning 动态:Connect an AgentCore Runtime hosted MCP server to Amazon Quick

原文摘要:In this post, you will learn how to deploy and host your MCP server in AgentCore Runtime and integrate it with Amazon Quick, along with the prerequisites. With this pattern, you pr 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025

原文摘要:We're excited to share that AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025. In this 评测 of 13 providers, AWS received the hi 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base wi…

原文摘要:This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowle 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Manage agents, tools and skills at scale with AWS Agent Registry

原文摘要:AWS Agent Registry is now generally available: a single, searchable, governed catalog for the agents, tools, skills, and custom resources across your organization. This post explai 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed …

原文摘要:Learn how to build a multi-tenant agentic document chat application on Amazon Bedrock Managed Knowledge Base, where users upload documents and immediately ask grounded questions. T 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:DoorDash’s Flux Runs 130,000 Engineering Tasks Through Cloud-Based Agents

原文摘要:DoorDash has moved engineering agent workloads from 开发者 laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more th 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser

原文摘要:James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical approaches using WebGPU, Transfor 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Podcast: Scott Jenson on Evolving Desktop OS, Local-First, & Agentic UX

原文摘要:In this episode, Scott Jenson, a veteran UX designer known for his work on the Macintosh, Google Maps, and Chrome examines the long-term stagnation of desktop operating systems and 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。