<?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://themodelwire.com/article/sundar-pichai-on-ai-the-future-of-search-and-what-s-happening-to-the-web-01KSJ9KMJK4T7QVR9C0EMV346C</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T14:00:00.000Z</news:publication_date>
      <news:title>Sundar Pichai on AI, the future of search, and what’s happening to the web</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/buspatrol-put-ai-cameras-in-tens-of-thousands-of-school-buses-now-they-want-to-g-01KSJ9KN572JWDXN2KSA90YM4F</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T13:49:22.000Z</news:publication_date>
      <news:title>‘BusPatrol’ Put AI Cameras in Tens of Thousands of School Buses. Now They Want to Give Cops Access</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/google-cloud-coo-says-ai-security-belongs-in-the-boardroom-not-just-the-server-r-01KSJ7WS6QFSN81V9GR98WS1ES</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T13:25:58.000Z</news:publication_date>
      <news:title>Google Cloud COO says AI security belongs in the boardroom, not just the server room</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/nobody-wants-to-tell-me-why-they-only-listen-their-own-suno-slop-01KSJ5AAQXG15QX0JBFFKYZN1B</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T12:46:03.000Z</news:publication_date>
      <news:title>Nobody wants to tell me why they only listen their own Suno slop</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/ai-hallucinated-citations-are-creeping-into-papers-that-shape-clinical-guideline-01KSJ5ACCJ6GN6Y8H7CY667TM3</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T12:36:11.000Z</news:publication_date>
      <news:title>AI-hallucinated citations are creeping into papers that shape clinical guidelines, researchers warn</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/thermal-cameras-and-ai-help-ships-steer-clear-of-gray-whales-01KSJ2QXY4KRG9ZRR765YJYGMP</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T12:00:01.000Z</news:publication_date>
      <news:title>Thermal Cameras and AI Help Ships Steer Clear Of Gray Whales</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/ai-warfare-is-already-here-01KSJ2QXEEH0VF2QMNHG10CRNS</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T12:00:00.000Z</news:publication_date>
      <news:title>AI warfare is already here</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/y-combinator-founder-paul-graham-says-ai-written-founder-emails-feel-like-being-01KSHZA3CTTQX9279A9BZT699A</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T11:00:57.000Z</news:publication_date>
      <news:title>Y Combinator founder Paul Graham says AI-written founder emails feel like being lied to</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/the-ai-justice-gap-solution-is-slowly-turning-into-an-existential-paperwork-nigh-01KSHYEMA9XMQKC1425CDFBSX4</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:42:00.000Z</news:publication_date>
      <news:title>The AI justice gap solution is slowly turning into an existential paperwork nightmare for US federal courts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/i-spent-a-week-recording-myself-doing-chores-for-money-whos-the-robot-now-01KSHVW7WM1SEED57QYCV5TRSW</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>I Spent a Week Recording Myself Doing Chores for Money. Who's the Robot Now?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/to-land-a-job-in-ai-try-reading-kant-01KSHVW81DR2TFGYPR1KVV1NCR</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>To Land a Job in AI, Try Reading Kant</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/ai-is-taking-over-the-most-cursed-job-in-the-world-01KSHVW7V5EBHHSQ6SRC8ZYW3B</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>AI Is Taking Over the Most Cursed Job in the World</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/take-this-mandatory-ai-workplace-training-right-now-or-else-01KSHVW7YYR501B0N7YNGH408C</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>Take This Mandatory AI Workplace Training Right Now, or Else</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/i-m-a-professional-fact-checker-ai-is-wrong-more-often-than-you-think-01KSHVW8050B16BR9D0DF3Q32S</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>I’m a Professional Fact-Checker. AI Is Wrong More Often Than You Think</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/ai-agents-plunged-the-tech-world-into-chaos-here-s-exactly-how-that-happened-01KSHVW7NKFADAK9S07W1JKG83</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>AI Agents Plunged the Tech World Into Chaos. Here’s Exactly How That Happened</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/nvidia-earnings-the-ai-stack-nvidia-s-new-reporting-01KSHVW6W0DNNAHP68SJGHPHPE</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T10:00:00.000Z</news:publication_date>
      <news:title>Nvidia Earnings, The AI Stack, Nvidia’s New Reporting</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/uber-president-says-ai-spending-is-getting-harder-to-justify-01KSHVW7WJSJQBATQJW118KFG2</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T09:55:09.000Z</news:publication_date>
      <news:title>Uber president says AI spending is getting ‘harder to justify’</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/us-law-enforcement-warns-of-anti-tech-extremism-as-ai-hatred-grows-01KSHT599A6FRM0YRT6MWC8TSX</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T09:30:00.000Z</news:publication_date>
      <news:title>US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/it-s-time-to-address-the-looming-crisis-in-entry-level-work-01KSHS9R1WDPFT7TGVJA32QG84</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T09:00:00.000Z</news:publication_date>
      <news:title>It’s time to address the looming crisis in entry-level work.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/a-reality-check-on-the-ai-jobs-hysteria-01KSHS9QV3521F95ZEPDNQ450R</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T09:00:00.000Z</news:publication_date>
      <news:title>A reality check on the AI jobs hysteria</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/quoting-corey-quinn-01KSH2469DNG49JZBR01B1KKTP</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-26T02:28:54.000Z</news:publication_date>
      <news:title>Quoting Corey Quinn</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/notes-on-pope-leo-xivs-encyclical-on-ai-01KSGTCZSF1X4YP1P4AKAJJR8H</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T23:58:17.000Z</news:publication_date>
      <news:title>Notes on Pope Leo XIV's encyclical on AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/mobilegym-a-verifiable-and-highly-parallel-simulation-platform-for-mobile-gui-ag-01KSH9VEPS5MHH7TR8X211B15K</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:59:49.000Z</news:publication_date>
      <news:title>MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/from-model-scaling-to-system-scaling-scaling-the-harness-in-agentic-ai-01KSH791M4576T025P6SBP8J4N</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:59:36.000Z</news:publication_date>
      <news:title>From Model Scaling to System Scaling: Scaling the Harness in Agentic AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/squeezing-capacity-from-multimodal-large-language-models-for-subject-driven-gene-01KSH791N8WQNMG2WEDYDAPWKY</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:59:35.000Z</news:publication_date>
      <news:title>Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/prism-a-plug-in-reproducible-infrastructure-for-scalable-multimodal-continual-in-01KSH791NZKWHVDV097ZN7V5RD</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:59:28.000Z</news:publication_date>
      <news:title>Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/looped-diffusion-language-models-01KSH791PMDEBE1RNQMQ73C4PS</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:58:24.000Z</news:publication_date>
      <news:title>Looped Diffusion Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/language-models-need-sleep-01KSH9VERTPB14RHRJV8H155MT</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:55:39.000Z</news:publication_date>
      <news:title>Language Models Need Sleep</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/forgetting-in-language-models-capacity-optimization-and-self-generated-replay-01KSH791Q8HQFKV1MJYKBDFKP6</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:54:34.000Z</news:publication_date>
      <news:title>Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/goal-driven-bayesian-optimal-experimental-design-for-robust-decision-making-unde-01KSH791QVP0XY280ANA60GV0G</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:53:18.000Z</news:publication_date>
      <news:title>Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/orpquant-geometric-orthogonal-residual-projection-for-multiplier-free-power-of-t-01KSH791RFC8CMMJXQFBQNREX4</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:52:46.000Z</news:publication_date>
      <news:title>OrpQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/discoverphysics-benchmarking-llms-for-out-of-the-box-scientific-thinking-01KSH791S30RVX77RCF10BSNY8</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:50:07.000Z</news:publication_date>
      <news:title>DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/automated-benchmark-auditing-for-ai-agents-and-large-language-models-01KSH9VESGYTQT1KR7K1THE03Q</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:44:21.000Z</news:publication_date>
      <news:title>Automated Benchmark Auditing for AI Agents and Large Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/global-convergence-of-wasserstein-policy-gradient-for-entropy-regularized-reinfo-01KSH791SQFQX0ZW13N7KYYJRP</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:42:59.000Z</news:publication_date>
      <news:title>Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/stakebench-evaluating-language-understanding-grounded-in-market-commitment-01KSH9VET451P5JVGAQETV1TKA</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:38:30.000Z</news:publication_date>
      <news:title>StakeBench: Evaluating Language Understanding Grounded in Market Commitment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/active-query-synthesis-for-preference-learning-01KSH791TBXSPDNEQPC7SCY6SK</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:37:58.000Z</news:publication_date>
      <news:title>Active Query Synthesis for Preference Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/whosaidit-human-llm-collaborative-annotation-for-text-based-multilingual-speaker-01KSH9VETVRTY8DFVXZ7N0320V</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:37:45.000Z</news:publication_date>
      <news:title>WhoSaidIt: Human-LLM Collaborative Annotation for Text-Based Multilingual Speaker-Attribute Classification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/rethinking-weak-supervision-in-anomaly-detection-a-comprehensive-benchmark-01KSH791VFS4RH7107ZHSM20E4</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:32:58.000Z</news:publication_date>
      <news:title>Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/conditional-krr-injecting-unpenalized-features-into-kernel-methods-with-applicat-01KSH791WSJ6QWSA6N1NZQT5T0</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:31:54.000Z</news:publication_date>
      <news:title>Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/paris-2-0-a-decentralized-diffusion-model-for-video-generation-01KSH791XHHGNXKDC0559MGG1G</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:27:22.000Z</news:publication_date>
      <news:title>Paris 2.0: A Decentralized Diffusion Model for Video Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/neuronal-stochastic-attention-circuit-nsac-for-probabilistic-representation-lear-01KSH791YKDEV9YY1M1GBWKXKE</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:19:14.000Z</news:publication_date>
      <news:title>Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/accelerating-bayesian-inverse-design-in-computational-fluid-dynamics-using-neura-01KSH791ZBSZTPYXRRFYX86EE3</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:18:18.000Z</news:publication_date>
      <news:title>Accelerating Bayesian inverse design in computational fluid dynamics using neural operators</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/when-gradients-collide-failure-modes-of-multi-objective-prompt-optimization-for-01KSH791ZVBAAMHCH94HDJE1DW</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:08:55.000Z</news:publication_date>
      <news:title>When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/confidence-and-calibration-of-activation-oracles-for-reliable-interpretation-of-01KSH9VEW09K389KG49MMZKGW8</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:08:47.000Z</news:publication_date>
      <news:title>Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/peak-then-collapse-and-the-four-interface-channels-of-knowledge-graph-tool-use-01KSH9VEX97620RY532G70HHQE</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:05:35.000Z</news:publication_date>
      <news:title>Peak-Then-Collapse and the Four Interface Channels of Knowledge-Graph Tool Use</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/cityrep-a-unified-benchmark-for-urban-representations-across-cities-tasks-and-mo-01KSH792044XSMZS7YJPWJVRSG</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:03:46.000Z</news:publication_date>
      <news:title>CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/length-generalization-with-log-depth-recurrent-units-01KSH7920ETVVKTFDM6E3GCN2R</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:02:29.000Z</news:publication_date>
      <news:title>Length Generalization with Log-Depth Recurrent Units</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/everything-at-every-scale-scale-invariant-diffusion-with-continuous-super-resolu-01KSH7920PJV7PNSMSFQ46Q0ZB</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T17:01:21.000Z</news:publication_date>
      <news:title>Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/causalab-a-scalable-environment-for-interactive-causal-discovery-toward-ai-scien-01KSH9VEY1HAMBE0N7RREGGWBK</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T16:57:06.000Z</news:publication_date>
      <news:title>CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://themodelwire.com/article/a-multimodal-3d-foundation-model-for-light-sheet-fluorescence-microscopy-enables-01KSH7920ZSHPWTT9Z2F84JYYQ</loc>
    <news:news>
      <news:publication>
        <news:name>Modelwire</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-25T16:50:58.000Z</news:publication_date>
      <news:title>A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring</news:title>
    </news:news>
  </url>
</urlset>