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  1. AWS Machine Learning Blog

    Responsible AI governance: How AWS positions customers to align with ISO/IEC 42005:2025

    中文摘要

    AWS投资于有助于客户符合负责任人工智能治理国际标准的工具。在本文中,我们将探讨人工智能系统影响评估:它是什么,如何改善企业范围内的风险管理,以及ISO/IEC 42005:2025如何将进行和记录这些评估的最佳实践标准化。

    英文原文

    AWS invests in tools that help customers align with international standards for responsible AI governance. In this post, we explore the AI system impact assessment: what it is, how it improves enterprise-wide risk management, and how ISO/IEC 42005:2025 codifies best practices for conducting and documenting these assessments.

  2. AWS Machine Learning Blog

    Best practices for Amazon SageMaker HyperPod administration and governance

    中文摘要

    通过 Amazon SageMaker Unified Studio 管理 Amazon SageMaker HyperPod 的方法,同时保持集群治理。本文展示了平台团队如何设计基础设施边界、治理访问权限、分配共享容量,并在组织、项目、集群和工作负载控制层面上一致地运行 HyperPod。

    英文原文

    Learn how to administer Amazon SageMaker HyperPod through Amazon SageMaker Unified Studio while preserving cluster governance. This post shows platform teams how to design infrastructure boundaries, govern access, allocate shared capacity, and operate HyperPod consistently across the organization, project, cluster, and workload control layers.

  3. AWS Machine Learning Blog

    Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

    中文摘要

    数据科学家和机器学习工程师现在可以直接从SageMaker Studio在SageMaker HyperPod EKS集群上创建、配置、启动、停止和打开Amazon SageMaker Spaces。只需点击几下即可启动JupyterLab和代码编辑器环境,而无需使用命令行工具。

    英文原文

    Data scientists and ML engineers can now create, configure, start, stop, and open Amazon SageMaker Spaces on SageMaker HyperPod EKS clusters directly from SageMaker Studio. Launch JupyterLab and Code Editor environments in a few clicks, without using command-line tools.

  4. AWS Machine Learning Blog

    Build a voice travel concierge with Amazon Bedrock AgentCore, Managed Knowledge Base and Nova Sonic

    中文摘要

    通过 Amazon Bedrock AgentCore、Amazon Nova Sonic(用于实时语音)以及 Amazon Bedrock Knowledge Bases(用于政策解答),将语音旅行礼宾服务添加到航空公司应用程序中。旅客可以通过语音更改座位、查看延误信息并询问政策问题,而该代理通过 MCP 工具连接到您的后端,并在进行任何更改之前确认更改内容。

    英文原文

    Add a voice travel concierge to an airline app with Amazon Bedrock AgentCore, Amazon Nova Sonic for real-time speech, and Amazon Bedrock Knowledge Bases for policy answers. Travelers change seats, check delays, and ask policy questions by voice, while the agent reaches your backend through MCP tools and confirms every change before it writes.

  5. NVIDIA Blog

    Why Telecom Operators Are Building Their AI Strategy on Open Models

    中文摘要

    电信运营商正越来越多地将其人工智能战略建立在开放模型之上——而背后的原因不仅仅是成本问题。开放模型使电信公司能够在最关键的业务工作负载上信任、控制和定制人工智能,从自主网络到客户服务。NVIDIA最新发布的《电信行业人工智能现状》报告反映了这一转变,其中……

    英文原文

    Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with […]

  6. AWS Machine Learning Blog

    Introducing GLM 5.3 on Amazon Bedrock

    中文摘要

    Z.ai 的 GLM 5.3 现已在 Amazon Bedrock 上可用:这是一个用于编码和长周期代理任务的 753B 参数专家混合模型。了解如何通过 OpenAI 兼容的 API 调用它,通过提示缓存来降低成本和延迟,并使用开源的 Strix 代理进行授权安全测试。

    英文原文

    GLM 5.3 from Z.ai is now available on Amazon Bedrock: a 753B-parameter mixture-of-experts model built for coding and long-horizon agentic tasks. Learn how to invoke it with the OpenAI-compatible APIs, cut cost and latency with prompt caching, and run an authorized security test with the open-source Strix agent.

  7. AWS Machine Learning Blog

    Supercharge regulated workloads with Claude Code and Amazon Bedrock

    中文摘要

    Anthropic Claude Opus 5.5 和 Claude Sonnet 5.5 在 AWS GovCloud(美国)区域的 Amazon Bedrock 上可用。了解如何使用 Claude Code,Anthropic 的代理编码工具,以实现合规对齐的、人工智能辅助的开发,用于受监管和 ITAR 工作负载。

    英文原文

    Anthropic Claude Opus 5.5 and Claude Sonnet 5.5 are available on Amazon Bedrock in the AWS GovCloud (US) Regions. Learn how to use them with Claude Code, Anthropic's agentic coding tool, for compliance-aligned, AI-assisted development on regulated and ITAR workloads.

  8. AWS Machine Learning Blog

    New agent skill: Amazon SageMaker optimized generative AI inference for your coding agent

    中文摘要

    Amazon SageMaker优化的生成式AI推理通过AWS的Agent Toolkit引入了aws-ai-ml技能,使像Kiro、Claude Code和Codex这样的编码代理具备深入的推理优化和基准测试专业知识。描述你想要的内容,你的代理将生成可执行的SageMaker Python SDK v3代码,用于基准测试、推荐和比较部署。

    英文原文

    Amazon SageMaker optimized generative AI inference introduces the aws-ai-ml skill through the Agent Toolkit for AWS, giving coding agents like Kiro, Claude Code, and Codex deep expertise in inference optimization and benchmarking. Describe what you want, and your agent generates executable SageMaker Python SDK v3 code to benchmark, recommend, and compare deployments.

  1. GitHub Blog · AI & ML

    ReviewBench: An open benchmark for AI code review

    中文摘要

    我们推出了ReviewBench,这是一个基于具有代表性的GitHub拉取请求、多源真实数据、校准评估和与生产环境对齐的指标的代码审查代理基准。文章《ReviewBench:一个开放的AI代码审查基准》首先发布在GitHub博客上。

    英文原文

    We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics. The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub Blog .

  2. AWS Machine Learning Blog

    Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

    中文摘要

    将 Amazon Quick 的资源(代理、操作连接器、知识库、流程和空间)从开发环境推广到生产环境 AWS 账户一直是一个手动且容易出错的过程。本文展示了如何通过在 Amazon Bedrock AgentCore 上使用可重复、可审计的 MCP 服务器来实现跨账户的自动化推广。

    英文原文

    Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore. This post shows how to automate cross-account promotion with an idempotent, auditable MCP server on Amazon Bedrock AgentCore.

  3. AWS Machine Learning Blog

    Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases

    中文摘要

    在 Amazon Bedrock 受管理的知识库上构建一个检索增强生成(RAG)应用程序,使用 LangChain,并查看代理检索如何处理单次检索回答不好的多部分问题。通过两种路径运行相同的查询,阅读跟踪事件,并比较每种检索路径的成本。

    英文原文

    Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly. Run the same query through both paths, read the trace events, and compare what each retrieval path costs.

  4. AWS Machine Learning Blog

    Downgrading user roles in Amazon Quick

    中文摘要

    Amazon Quick 并没有直接的控制台路径将用户从管理员或作者降级为读者。本文将介绍两种可靠的方法:一种是手动删除并重新创建的方法,另一种是使用 AWS CLI 的降级步骤,该步骤可以安全地降级角色,同时保留资产的所有权。

    英文原文

    Amazon Quick doesn't offer a direct console path to downgrade a user from Admin or Author to Reader. This post walks through two reliable methods: a manual delete-and-recreate approach and an AWS CLI step-down sequence that downgrades roles safely while preserving asset ownership.

  5. AWS Machine Learning Blog

    Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore

    中文摘要

    多智能体系统需要比流畅响应更深入的保障:它们必须选择正确的工具,遵守约束条件,并解释其决策。了解如何构建基于Strands的多智能体供应链决策系统,并使用Amazon Bedrock AgentCore评估,通过内置、自定义和可解释性评估器对其进行评估。

    英文原文

    Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using built-in, custom, and explainability evaluators.

  6. OpenAI News

    Our approach to EU text provenance rules

    中文摘要

    OpenAI 如何在欧盟规则下进行文本水印处理。了解水印适用的范围、检测是如何工作的,以及为什么访问权限从研究人员开始。

    英文原文

    How OpenAI is approaching text watermarking under EU rules. Learn where watermarks apply, how detection works, and why access starts with researchers.

  7. NVIDIA Blog

    From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps

    中文摘要

    乳腺癌是美国女性中最常被诊断的癌症——然而治疗上的差距仍然很大。大多数40岁以上的女性都会跳过推荐的年度筛查。放射科医生在同事更少的情况下需要阅读更多的乳腺X光片。而当诊断结果出现时,用于指导治疗的检测结果可能需要数周才能出来。[…]

    英文原文

    Breast cancer is the most commonly diagnosed cancer among American women — yet the gaps in care are wide. A majority of women over age 40 skip the recommended annual screening. Radiologists are reading more mammograms with fewer colleagues. And when a diagnosis arrives, the tests that inform treatment can take weeks to return results. […]

  8. OpenAI News

    Building advertising for the way people use AI

    中文摘要

    OpenAI 在 ChatGPT 中引入了一种新的视觉广告格式,并扩展了广告客户的测量工具、归因合作伙伴和品牌适宜性。

    英文原文

    OpenAI introduces a new visual ad format in ChatGPT and expands measurement tools, attribution partnerships, and brand suitability for advertisers.