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今天10月7日周三10 条
  1. AWS Machine Learning Blog

    Downgrading user roles in Amazon Quick

    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.

  2. AWS Machine Learning Blog

    Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases

    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.

  3. OpenAI News

    Sharing AI progress in mathematics

    OpenAI publishes new results on open problems in mathematics from an internal frontier model and shares Lean proof formalizations and research details on GitHub.

  4. AWS Machine Learning Blog

    Building a context-aware AI assistant on AgentCore and OpenClaw

    Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentCore memory turning disposable chats into durable, structured knowledge you can retrieve with metadata filters.

  5. Microsoft Research

    What AI gets wrong and what failure teaches us

    Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research .

10月6日周二
  1. AWS Machine Learning Blog

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

    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

    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

    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. NVIDIA Blog

    Why Telecom Operators Are Building Their AI Strategy on Open Models

    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 […]

  5. OpenAI News

    Advancing computer use with Ironclad

    Learn how OpenAI and Ironclad are training and evaluating AI agents on complex contracting workflows to advance computer use for professional work.

  6. AWS Machine Learning Blog

    Introducing GLM 5.3 on Amazon Bedrock

    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

    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

    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.

10月5日周一
  1. GitHub Blog · AI & ML

    ReviewBench: An open benchmark for AI code review

    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. OpenAI News

    Our approach to EU text provenance rules

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

  3. NVIDIA Blog

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

    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. […]

10月3日周六
  1. OpenAI News

    A model guide for the GPT-6 family

    Learn how startups can choose GPT-6 models, tune reasoning effort, improve prompts and skills, coordinate tools, and prepare workflows for production.

10月2日周五
  1. NVIDIA Blog

    NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI

    Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, […]

  2. NVIDIA Blog

    How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast

    GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, […]

  3. OpenAI News

    The eternal complement

    Advanced AI may matter most for the routine work behind breakthrough ideas. Explore why execution could shape the next economy and the pace of progress.

10月1日周四
  1. NVIDIA Blog

    Fall Into 25 New Games on GeForce NOW This October

    Spooky season is streaming in. Alongside falling leaves, pumpkin spice and everything nice, 25 new games are joining GeForce NOW throughout October, including six ready to play this week. From a new CONTROL Resonant reward for Performance and Ultimate members to The Witcher 3: Wild Hunt – Remastered joining the cloud, this GFN Thursday is […]

  2. NVIDIA Blog

    Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

    AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]

  3. NVIDIA Blog

    NVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000

    Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]

  4. Microsoft Research

    Forecasting space weather risks on power grids

    Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research .

9月30日周三
  1. Google DeepMind

    Introducing SynthID Bio

    Proof of concept for watermarking AI-generated proteins while preserving biological function.

  2. NVIDIA Blog

    From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

    Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]

9月29日周二
  1. Microsoft Research

    Introducing Quine: An AI research system designed for the complexity of biology

    Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research .

  2. Microsoft Research

    One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact

    Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research .

9月26日周六
  1. GitHub Blog · AI & ML

    GitHub Copilot app for Beginners: How to build custom workflows with canvases

    Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog .