<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
  xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://news.chathome.org/news/quoting-ted-sanders-p-E1OywQ?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T23:23:21.000Z</news:publication_date>
      <news:title>Ted Sanders 解读 OpenAI 模型命名规则：版本号背后的多重含义</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/artificial-analysis-v5-and-the-benchmarkers-dilemma-2eo2Cvyt?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T12:58:39.000Z</news:publication_date>
      <news:title>Artificial Analysis v5 与基准测试者的困境</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-terk-terkowitz-_-0yIb4W?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T10:09:07.000Z</news:publication_date>
      <news:title>引用 Terk Terkowitz：AI 工具无益于工作时，记录原因而非视为失败</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/game-boy-color-on-my-conference-badge-lyHxh2s-?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T19:34:18.000Z</news:publication_date>
      <news:title>会议胸牌上的 Game Boy Color</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-procore-is-powering-construction-analytics-with-opensharing-uyBRohSM?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:29:00.000Z</news:publication_date>
      <news:title>How Procore is powering construction analytics with OpenSharing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-ted-sanders-p-E1OywQ?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T23:23:21.000Z</news:publication_date>
      <news:title>Quoting Ted Sanders</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/building-an-agentic-ai-platform-on-amazon-bedrock-agentcore-WOa1TvY0?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:28:26.000Z</news:publication_date>
      <news:title>Building an Agentic AI Platform on Amazon Bedrock AgentCore</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/distributed-training-with-ray-train-dlcs-and-efa-on-eks-zGu24q-0?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:19:54.000Z</news:publication_date>
      <news:title>Distributed training with Ray Train DLCs and EFA on EKS</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/accelerating-software-delivery-with-agentic-qa-automation-using-amazon-nova-act--Tim0z_52?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:12:13.000Z</news:publication_date>
      <news:title>Accelerating software delivery with agentic QA automation using Amazon Nova Act – Part 3</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/voice-agents-are-here-context-turns-them-into-real-customer-value-csDh-GQ3?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:00:00.000Z</news:publication_date>
      <news:title>Voice Agents are here. Context turns them into real customer value.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-to-build-evidence-grounded-agent-memory-with-openwiki-and-graphs-VUA0xF6t?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T17:00:01.000Z</news:publication_date>
      <news:title>How to build evidence-grounded agent memory with OpenWiki and Graphs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/github-octoverse-2026-6BjbQDck?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T16:45:23.000Z</news:publication_date>
      <news:title>GitHub Octoverse 2026: Agentic Engineering Drives Commits and Pull Requests to New Highs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-to-build-proactive-always-on-agents-with-the-schedules-sdk-in-managed-deep-a-xDCThKDW?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T16:20:40.000Z</news:publication_date>
      <news:title>How to Build Proactive, Always-On Agents with the Schedules SDK in Managed Deep Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/nvidia-rtx-spark-windows-laptops-gain-new-models-agent-tools-and-games-KbsIWxfR?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T15:00:46.000Z</news:publication_date>
      <news:title>NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/the-october-inflection-point-for-vibe-game-development-U3YSPb96?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T13:55:15.000Z</news:publication_date>
      <news:title>The October inflection point for vibe game development</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/openai-and-servicenow-expand-partnership-across-enterprise-workflows-nnINZpni?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T13:15:00.000Z</news:publication_date>
      <news:title>OpenAI and ServiceNow expand partnership across enterprise workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/artificial-analysis-v5-and-the-benchmarkers-dilemma-2eo2Cvyt?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T12:58:39.000Z</news:publication_date>
      <news:title>Artificial Analysis v5 and the benchmarker&apos;s dilemma</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-terk-terkowitz-_-0yIb4W?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T10:09:07.000Z</news:publication_date>
      <news:title>Quoting Terk Terkowitz</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/the-future-of-the-firm-p1wve6QT?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T10:00:00.000Z</news:publication_date>
      <news:title>The future of the firm</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/legora-is-building-the-agentic-operating-system-for-legal-work-NVuaCGyC?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T09:30:00.000Z</news:publication_date>
      <news:title>Legora is building the agentic operating system for legal work</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/legora-is-building-the-agentic-operating-system-for-legal-work-w6W51-Ek?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T09:30:00.000Z</news:publication_date>
      <news:title>Legora is building the agentic operating system for legal work</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/a-2-dof-multibody-track-joint-for-race-car-optimization-aQPAfNR_?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>A 2-DOF MultiBody Track Joint for Race Car Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/hidra-hierarchical-dual-routing-attention-for-replay-free-lifelong-imitation-lea-n71mUjdw?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>HIDRA: Hierarchical Dual-Routing Attention for Replay-Free Lifelong Imitation Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/sg2slam-spatial-geometry-informed-3d-gaussian-splatting-slam-for-monocular-outdo-WtaNu-p7?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>SG^2SLAM: Spatial Geometry-Informed 3D Gaussian Splatting SLAM for Monocular Outdoor Navigation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/aspen-adaptive-semantic-reasoning-via-command-persistence-prediction-for-efficie-pvZFh6jl?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>ASPEN: Adaptive Semantic Reasoning via Command Persistence Prediction for Efficient Navigation VLAs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/learning-multi-phase-robot-loco-manipulation-via-phase-conditioned-policy-optimi-FReq_v3N?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Learning Multi-Phase Robot Loco-Manipulation via Phase-Conditioned Policy Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/cuarms-gpu-accelerated-conflict-based-planning-for-multi-arm-manipulation-B1mvJt-S?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>cuArms: GPU-Accelerated Conflict-Based Planning for Multi-Arm Manipulation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/program-level-adversarial-co-adaptive-self-play-for-robotic-security-ugYYrr7o?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Program-Level Adversarial Co-Adaptive Self-Play for Robotic Security</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/closed-loop-aware-planning-via-imitation-free-speed-scoring-for-end-to-end-auton-ZrtRfrqd?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Closed-Loop Aware Planning via Imitation-Free Speed Scoring for End-to-End Autonomous Driving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/rollback-experience-backtracking-in-world-models-for-policy-improvement-m-8vJE0Z?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Rollback: Experience Backtracking in World Models for Policy Improvement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/e05-from-reconstructive-to-future-predictive-3d-foundations-for-robotic-world-ac-mplY2yn4?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>E0.5: From Reconstructive to Future-Predictive 3D Foundations for Robotic World-Action Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/diagnosing-and-correcting-bias-in-mllm-for-long-video-understanding-midGVFZQ?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Diagnosing and Correcting Bias in MLLM for Long Video Understanding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/ut-hmr-uncertainty-guided-temporal-modeling-for-robust-3d-human-mesh-recovery-M6dF2tQo?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>UT-HMR: Uncertainty-Guided Temporal Modeling for Robust 3D Human Mesh Recovery</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/learning-to-read-braille-benchmarking-and-improving-braille-recognition-capabili-ew5-tTfb?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Learning to Read Braille: Benchmarking and Improving Braille Recognition Capabilities of VLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/beyond-the-estimate-wiener-informed-decoding-for-easier-training-of-pixel-space--AQccZGXN?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/prings-privacy-preservation-in-gaussian-splatting-Qh83qaMA?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>PrinGS: Privacy Preservation in Gaussian Splatting</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/any3r-feedforward-3d-reconstruction-from-any-camera-type-rfpA_5UO?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Any3R: Feedforward 3D Reconstruction from Any Camera Type</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/learning-and-reasoning-with-geometry-how-generation-helps-spatial-understanding-LGeASku3?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Learning and Reasoning with Geometry: How Generation Helps Spatial Understanding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/physiognomy-revisited-how-vision-language-models-encode-sensitive-attributes-thr-qTpTmHzm?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Physiognomy Revisited: How Vision-Language Models Encode Sensitive Attributes Through Image Transformation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/task-utility-iqa-rethinking-image-quality-assessment-in-embodied-tasks-fQuJUOpG?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Task-Utility IQA: Rethinking Image Quality Assessment in Embodied Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/objecttwin-measuring-the-asset-correspondence-gap-for-capture-anchored-digital-t-80ypxyZp?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>ObjectTwin: Measuring the Asset Correspondence Gap for Capture-Anchored Digital Twins</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/detect-before-you-disambiguate-perturbation-based-input-ambiguity-detection-in-l-3SCE0lDE?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Detect Before You Disambiguate: Perturbation-Based Input Ambiguity Detection in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/beyond-icebert-open-data-modernbert-encoders-for-icelandic-from-12m-to-1b-parame-ZEFgKPeg?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Beyond IceBERT: Open-Data ModernBERT Encoders for Icelandic from 12M to 1B Parameters</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/llm-hallucination-detection-via-low-rank-multilinear-decomposition--o0r__tx?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>LLM Hallucination Detection via Low-rank Multilinear Decomposition</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/frankly-speaking-the-company-election-integrity-keeps-in-congressional-communica-Z9G8a8Q7?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Frankly Speaking: The Company Election Integrity Keeps in Congressional Communication</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/lipi-ghor-a-large-scale-diarized-multi-domain-bengali-speech-corpus-and-a-scalab-9S_okfWJ?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Lipi-Ghor: A Large-Scale, Diarized, Multi-Domain Bengali Speech Corpus and a Scalable Pipeline for Building It</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/3-7-14-17-42-instruction-tuning-installs-and-sharpens-number-choice-heuristics-i-xAIFA9DD?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>3, 7, 14, 17, 42: Instruction Tuning Installs and Sharpens Number-Choice Heuristics in Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/finllm-kg-knowledge-graph-enhanced-llms-for-financial-sentiment-analysis-in-algo-1Xj2t5Tu?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>FinLLM-KG: Knowledge Graph-Enhanced LLMs for Financial Sentiment Analysis in Algorithmic Trading</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/omnibrain-0-a-unified-agentic-model-for-embodied-intelligence-IIdpv82U?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>OmniBrain-0: A Unified Agentic Model for Embodied Intelligence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/medjev-evaluating-zero-shot-system-one-decision-making-in-medicine-91P7oD1O?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>MedJev: Evaluating Zero-Shot System-One Decision Making in Medicine</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/recopii-a-relation-grounded-framework-for-building-contextual-pii-masking-datase-k3-rcvSj?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>ReCoPII: A Relation-Grounded Framework for Building Contextual PII Masking Datasets</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/model-agnostic-predictability-quantification-of-multivariable-time-series-s0x8VYgc?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Model-agnostic predictability quantification of multivariable time series</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/lower-expected-fisher-rank-implies-better-pac-generalization-D-cLJsr6?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Lower expected Fisher rank implies better PAC generalization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-much-fresh-data-should-ctr-recalibration-use-a-temporal-evaluation-of-post-h-74jFX7kk?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>How Much Fresh Data Should CTR Recalibration Use? A Temporal Evaluation of Post-hoc Calibration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/neural-disco-source-conditioned-counterfactual-editing-of-neural-population-acti-WgA5oTSK?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/physics-informed-neural-networks-for-solving-the-drift-diffusion-equations-4d4LGm_e?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Physics Informed Neural Networks for Solving the Drift-Diffusion Equations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/inference-time-prior-adaptation-for-imbalanced-data-streams-under-concept-drift-BkbrF8Sk?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Inference-Time Prior Adaptation for Imbalanced Data Streams under Concept Drift</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/feature-scaling-beats-architecture-choice-in-offline-respiratory-screening-for-l-aU8KvhYG?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Feature Scaling Beats Architecture Choice in Offline Respiratory Screening for Low-Resource Clinics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/lessons-from-luck-do-llm-written-lessons-carry-chance-into-an-agents-next-decisi-ycSqKt8l?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Lessons from Luck: Do LLM-Written Lessons Carry Chance into an Agent&apos;s Next Decision?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/can-language-models-learn-while-they-think-testing-gradient-adaptation-across-ar-6MzsmT-0?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Can Language Models Learn While They Think? Testing Gradient Adaptation Across Architectures</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/evolving-to-match-capabilities-improving-harness-self-evolution-via-skill-adapta-KGSV366j?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Evolving to Match Capabilities: Improving Harness Self-Evolution via Skill Adaptation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/marq-a-modular-llm-agnostic-requirement-quality-assessor-infused-with-systems-en-xR0HEAA7?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>MARQ: A Modular, LLM-Agnostic Requirement Quality Assessor Infused with Systems Engineering Knowledge</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/skill-dreaming-evolving-repository-skills-through-pull-request-streams-spD8CMRj?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Skill Dreaming: Evolving Repository Skills through Pull Request Streams</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/learning-human-sports-motion-feasibility-via-quantile-regression-on-tracking-dat-C6C3C6y1?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Learning Human Sports Motion Feasibility via Quantile Regression on Tracking Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/dont-pick-a-winner-knowledge-conflicts-need-a-prior-not-a-rule-kSusZzex?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Don&apos;t Pick a Winner: Knowledge Conflicts Need a Prior, Not a Rule</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/from-structural-feedback-to-prompt-policies-learning-faithful-text-to-image-prom-vll3CeHf?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>From Structural Feedback to Prompt Policies: Learning Faithful Text-to-Image Prompt Editors</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/why-and-how-to-do-science-when-ai-is-better-at-it-a-framework-grounded-in-human--n0CdQI-K?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/cohortflow-a-steerable-clinical-cohort-curation-agent-with-localized-semantic-co-M3NxeHNE?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>CohortFlow: A Steerable Clinical Cohort Curation Agent with Localized Semantic Correction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/the-trinitycapability-driven-recursive-self-improvement-for-multimodal-agents-2M3IPWpq?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/enhancing-deep-learning-model-performance-through-data-generation-strategies-cla-RqC_tj-q?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Enhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/counting-the-bandages-on-measuring-the-time-that-ai-saves-0gCPBRpR?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>Counting the Bandages: On measuring the time that AI saves</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/game-boy-color-on-my-conference-badge-lyHxh2s-?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T19:34:18.000Z</news:publication_date>
      <news:title>Game Boy Color on My Conference Badge</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/vital-skills-upskilling-genie-code-with-healthcare-and-life-sciences-skills-h9hj6lQq?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T19:00:00.000Z</news:publication_date>
      <news:title>Vital Skills: Upskilling Genie Code with Healthcare and Life Sciences skills</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/aws-named-a-leader-in-the-2026-gartner-magic-quadrant-for-contact-center-as-a-se-zA_RRXbd?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T18:03:12.000Z</news:publication_date>
      <news:title>AWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/from-spot-fixes-to-measured-gains-improving-document-extraction-accuracy-with-ai-8lzqvh4x?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T18:00:00.000Z</news:publication_date>
      <news:title>From spot fixes to measured gains: improving document extraction accuracy with ai_extract and MLflow Prompt Registry</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/the-sleep-framework-a-new-way-for-llms-to-retain-knowledge-in-continual-learning-a5jlcL9q?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T17:35:28.000Z</news:publication_date>
      <news:title>The sleep framework: A new way for LLMs to retain knowledge in continual learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/announcing-soci-indexed-images-for-faster-sagemaker-ai-jobs-UZug5H5R?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T17:00:39.000Z</news:publication_date>
      <news:title>Announcing SOCI-indexed images for faster SageMaker AI jobs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/fix-evaluation-bias-to-unlock-better-models-on-amazon-bedrock-3c56w-1i?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T16:53:02.000Z</news:publication_date>
      <news:title>Fix evaluation bias to unlock better models on Amazon Bedrock</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/exowatt-beats-frontier-models-on-accuracy-with-sagemaker-serverless-model-custom-FfWhWG8_?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T16:50:55.000Z</news:publication_date>
      <news:title>Exowatt beats frontier models on accuracy with SageMaker serverless model customization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-we-built-our-design-agent-GDWHbW5F?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T16:49:04.000Z</news:publication_date>
      <news:title>How We Built Our Design Agent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-ai-is-changing-the-pace-of-discovery-for-millions-living-with-dementia-OI_59wzY?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T15:00:20.000Z</news:publication_date>
      <news:title>How AI Is Changing the Pace of Discovery for Millions Living With Dementia</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/retell-uses-openai-models-to-help-power-100m-monthly-calls-mad3Peiu?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T15:00:00.000Z</news:publication_date>
      <news:title>Retell uses OpenAI models to help power 100M monthly calls</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-ted-sanders-p-E1OywQ?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T23:23:21.000Z</news:publication_date>
      <news:title>Ted Sanders氏が語るOpenAIのモデル命名規則：バージョン番号が持つ複数の意味</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/accelerating-software-delivery-with-agentic-qa-automation-using-amazon-nova-act--Tim0z_52?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:12:13.000Z</news:publication_date>
      <news:title>Amazon Nova Actを使用したエージェント型QA自動化でソフトウェアデリバリーを加速 – パート3</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/voice-agents-are-here-context-turns-them-into-real-customer-value-csDh-GQ3?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T18:00:00.000Z</news:publication_date>
      <news:title>音声エージェントが到来：コンテキストが真の顧客体験価値を生む</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/github-octoverse-2026-6BjbQDck?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T16:45:23.000Z</news:publication_date>
      <news:title>GitHub Octoverse 2026：エージェント型エンジニアリングがコミットとプルリクエストを過去最高に押し上げる</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-to-build-proactive-always-on-agents-with-the-schedules-sdk-in-managed-deep-a-xDCThKDW?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T16:20:40.000Z</news:publication_date>
      <news:title>Managed Deep AgentsのSchedules SDKでプロアクティブな常時稼働エージェントを構築する方法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/nvidia-rtx-spark-windows-laptops-gain-new-models-agent-tools-and-games-KbsIWxfR?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T15:00:46.000Z</news:publication_date>
      <news:title>NVIDIA RTX Spark WindowsノートPC、新モデルとエージェントツール、ゲームが登場</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/openai-and-servicenow-expand-partnership-across-enterprise-workflows-nnINZpni?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T13:15:00.000Z</news:publication_date>
      <news:title>OpenAIとServiceNow、エンタープライズワークフローで提携を拡大</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/artificial-analysis-v5-and-the-benchmarkers-dilemma-2eo2Cvyt?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T12:58:39.000Z</news:publication_date>
      <news:title>Artificial Analysis v5とベンチマーカーのジレンマ</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-terk-terkowitz-_-0yIb4W?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T10:09:07.000Z</news:publication_date>
      <news:title>Terk Terkowitz 氏の引用：AI ツールが役立たない場合、それは失敗ではなく発見</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/legora-is-building-the-agentic-operating-system-for-legal-work-NVuaCGyC?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T09:30:00.000Z</news:publication_date>
      <news:title>Legora、法務業務のためのエージェント型オペレーティングシステムを構築</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/legora-is-building-the-agentic-operating-system-for-legal-work-w6W51-Ek?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T09:30:00.000Z</news:publication_date>
      <news:title>Legora、法務業務のためのエージェント型オペレーティングシステムを構築</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/objecttwin-measuring-the-asset-correspondence-gap-for-capture-anchored-digital-t-80ypxyZp?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T04:00:00.000Z</news:publication_date>
      <news:title>ObjectTwin：キャプチャにアンカーされたデジタルツインのための資産対応ギャップの測定</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/game-boy-color-on-my-conference-badge-lyHxh2s-?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T19:34:18.000Z</news:publication_date>
      <news:title>カンファレンスバッジで動くGame Boy Color</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/aws-named-a-leader-in-the-2026-gartner-magic-quadrant-for-contact-center-as-a-se-zA_RRXbd?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T18:03:12.000Z</news:publication_date>
      <news:title>AWS、2026年Gartnerコンタクトセンター・アズ・ア・サービス魔力象限でリーダーに選出</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/exowatt-beats-frontier-models-on-accuracy-with-sagemaker-serverless-model-custom-FfWhWG8_?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T16:50:55.000Z</news:publication_date>
      <news:title>Exowatt、SageMakerサーバーレスモデルカスタマイズでフロンティアモデルを精度で上回る</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-ai-is-changing-the-pace-of-discovery-for-millions-living-with-dementia-OI_59wzY?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T15:00:20.000Z</news:publication_date>
      <news:title>認知症患者5700万人のためにAIが研究発見のスピードをどう変えるか</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/retell-uses-openai-models-to-help-power-100m-monthly-calls-mad3Peiu?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-10-27T15:00:00.000Z</news:publication_date>
      <news:title>Retell、OpenAIモデルで月間1億通の通話を処理</news:title>
    </news:news>
  </url>
</urlset>
