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。

1735历史快讯
103开源工具
9当前结果
05 月 14 日 2026-05-14 快讯

AWS Machine Learning 动态:Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock Ag…

原文摘要:In this post, you will configure Chrome enterprise policies to restrict a browser agent to a specific website, observe the policy enforcement through session recording, and demonst 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:From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

原文摘要:Today, we're announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Managem 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:Real-time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic

原文摘要:In this post, you learn how to combine Stream's Vision Agents open-source framework with Amazon Bedrock and Amazon Nova 2 Sonic to build real-time voice agents that can be producti 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:Improve bot accuracy with Amazon Lex Assisted NLU

原文摘要:In this post, you will learn how to implement Assisted NLU effectively. You will learn how to improve your bot design with effective intent and slot descriptions, validate your imp 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:Presentation: Accelerating LLM-Driven 开发者 Productivity at Zoox

原文摘要:Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG 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。

MIT Technology Review AI:Establishing AI and data sovereignty in the age of autonomous systems

原文摘要:When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary da 来源:MIT Technology Review AI。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。

MIT Technology Review AI:Data readiness for agentic AI in financial services

原文摘要:Financial services companies have unique needs when it comes to business AI. They operate in one of the most highly regulated sectors while responding to external events that are u 来源:MIT Technology Review AI。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。