发布日期:2026-10-02
收录条目:20
1. Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
- 来源:AWS ML Blog
- 发布时间:2026-10-01 22:06 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/scaling-cloud-migrations-with-agentic-ai-on-amazon-bedrock-agentcore/
摘要:Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code gene
2. Serve live, governed data in AI-built apps with Amazon Quick
- 来源:AWS ML Blog
- 发布时间:2026-10-01 19:49 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/serve-live-governed-data-in-ai-built-apps-with-amazon-quick/
摘要:With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so row-level and column-
3. Google’s new Guided Vision feature can help you read the fine print
- 来源:The Verge AI
- 发布时间:2026-10-01 19:47 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/1003756/google-gemini-live-guided-vision
摘要:Guided Vision is launching in Gemini Live on compatible Android devices today to use AI to give real-time audio descriptions of anything you point your phone's camera at. By sharing your camera in Gemini Live, you can ha
4. Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors
- 来源:AWS ML Blog
- 发布时间:2026-10-01 17:34 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/build-agent-memory-with-nvidia-nemo-agent-toolkit-and-amazon-s3-vectors/
摘要:Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post shows how NAT's memory subsystem works a
5. Cohere Releases Embed 5: How It Compares to Voyage 4 Large, Gemini Embedding 2, and OpenAI
- 来源:MarkTechPost
- 发布时间:2026-10-01 17:13 UTC
- 链接:https://www.marktechpost.com/2026/10/01/cohere-releases-embed-5/
摘要:Cohere has released Embed 5, a new embedding model family. It targets enterprise search, RAG, and agentic retrieval. The model family ships in 2 tiers. Embed 5 Pro targets maximum retrieval quality. Embed 5 Fast targets
6. Judge dismisses antitrust lawsuits over Google’s AI Overviews
- 来源:The Verge AI
- 发布时间:2026-10-01 17:12 UTC
- 链接:https://www.theverge.com/tech/1003589/google-ai-overviews-chegg-penske-lawsuits-dismissed
摘要:A federal judge has dismissed a pair of antitrust lawsuits filed by Chegg and Rolling Stone parent company Penske Media Corporation, which accused Google of driving away web traffic with its AI-powered search features, a
7. The eternal complement
- 来源:OpenAI News
- 发布时间:2026-10-01 17:00 UTC
- 链接:https://openai.com/index/the-eternal-complement
摘要: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.
8. Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS
- 来源:AWS ML Blog
- 发布时间:2026-10-01 16:51 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/uplifting-conversion-across-the-acquisition-funnel-with-personalization-using-contextual-bandits-on-aws/
摘要:Generative AI makes it cheap to produce personalized content at scale, but which variation do you show each customer? Amazon Payments used a multi-objective contextual bandit on Amazon SageMaker AI to personalize an acqu
9. Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows
- 来源:AWS ML Blog
- 发布时间:2026-10-01 16:40 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/building-ambient-agents-with-amazon-bedrock-agentcore-from-event-driven-signals-to-human-in-the-loop-workflows/
摘要:Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore u
10. Implementing Multi-Environment Access for Claude Platform on AWS
- 来源:AWS ML Blog
- 发布时间:2026-10-01 16:32 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/implementing-multi-environment-access-for-claude-platform-on-aws/
摘要:Learn how to configure secure, multi-environment access to Claude Platform on AWS from a single subscription: cross-account SigV4 for AWS workloads, workspace-scoped API keys for developers, and OIDC federation for exter
11. Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter
- 来源:AWS ML Blog
- 发布时间:2026-10-01 16:28 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/simplify-dashboard-drill-down-with-the-amazon-quick-sight-hierarchy-filter/
摘要:Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering i
12. How Albertsons Companies is reimagining retail from the inside out
- 来源:OpenAI News
- 发布时间:2026-10-01 16:00 UTC
- 链接:https://openai.com/index/albertsons-reimagining-retail
摘要:Albertsons Cos. is using ChatGPT Enterprise and the OpenAI API to help teams work faster and make grocery shopping easier for millions of customers.
13. How uniopen customized Amazon Nova to their retail moderation policies for production deployment
- 来源:AWS ML Blog
- 发布时间:2026-10-01 15:33 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/how-uniopen-customized-amazon-nova-to-their-retail-moderation-policies-for-production-deployment/
摘要:See how uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization.
14. OpenAI’s new agent is a shot at Meta — but can it compete with free?
- 来源:The Verge AI
- 发布时间:2026-10-01 14:36 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/1003399/meta-openai-ai-agents-muse-dots-battle
摘要:At OpenAI's annual DevDay conference, the company pulled out all the stops to compete with its rivals - primarily Meta, whose Muse AI agent platform has seen early runaway success. CEO Sam Altman walked onstage to cheers
15. Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle
- 来源:The Verge AI
- 发布时间:2026-10-01 14:00 UTC
- 链接:https://www.theverge.com/podcast/1002851/utah-ai-data-center-stratos-kevin-oleary-investigation-backlash
摘要:Today I’m talking with Josh Dzieza, a longtime features writer here at The Verge, about Kevin O’Leary’s plans to build a massive data center in Utah. The idea was to build the world’s biggest data center — a 40,000-acre
16. NVIDIA Releases Kumo Tabular: Open Tabular Foundation Models That Predict New Rows in a Single Forward Pass
- 来源:MarkTechPost
- 发布时间:2026-10-01 06:57 UTC
- 链接:https://www.marktechpost.com/2026/09/30/nvidia-releases-kumo-tabular/
摘要:NVIDIA has released Kumo Tabular, a new family of tabular foundation models (TFMs) for classification and regression. If you have followed TabPFN or TabICL, the setup will look familiar. The model takes labeled rows as c
17. Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation
- 来源:arXiv cs.AI
- 发布时间:2026-10-01 04:00 UTC
- 链接:https://arxiv.org/abs/2609.38282
摘要:arXiv:2609.38282v1 Announce Type: new Abstract: Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness. Sequence-level task rewa
18. AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
- 来源:arXiv cs.AI
- 发布时间:2026-10-01 04:00 UTC
- 链接:https://arxiv.org/abs/2609.38288
摘要:arXiv:2609.38288v1 Announce Type: new Abstract: We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This abil
19. MoFlow: Multi-Objective Agentic Workflow Generation
- 来源:arXiv cs.AI
- 发布时间:2026-10-01 04:00 UTC
- 链接:https://arxiv.org/abs/2609.38294
摘要:arXiv:2609.38294v1 Announce Type: new Abstract: We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency. Existing methods for w
20. AI Agents are Vulnerable to Radicalization
- 来源:arXiv cs.AI
- 发布时间:2026-10-01 04:00 UTC
- 链接:https://arxiv.org/abs/2609.38296
摘要:arXiv:2609.38296v1 Announce Type: new Abstract: Large language models (LLMs) can influence people's beliefs, yet little is known about whether and how they can manipulate each other. To investigate this, we simulate conv