<?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://aiexpert.news/en/article/amex-ventures-bets-big-on-autonomous-commerce-startups</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T06:25:11.086Z</news:publication_date>
      <news:title>Amex Treats Portfolio as Sourcing Pipeline for Agentic AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/amex-ventures-bets-big-on-autonomous-commerce-startups</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T06:25:11.086Z</news:publication_date>
      <news:title>Amex Transforma Portfolio em Fonte de Suprimento para IA de Agentes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/amex-ventures-bets-big-on-autonomous-commerce-startups</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T06:25:11.086Z</news:publication_date>
      <news:title>Amex Transforma su Portafolio en Canal de Suministro para IA de Agentes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/a16z-leads-16m-seed-in-pit-new-ai-startup-from-voi-cofounder</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:54:11.511Z</news:publication_date>
      <news:title>Pit Lands $16M Seed to Automate Enterprise Back Offices</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/a16z-leads-16m-seed-in-pit-new-ai-startup-from-voi-cofounder</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:54:11.511Z</news:publication_date>
      <news:title>Pit Garante $16M em Seed para Automatizar Back Office Corporativo</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/a16z-leads-16m-seed-in-pit-new-ai-startup-from-voi-cofounder</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:54:11.511Z</news:publication_date>
      <news:title>Pit Recauda $16M en Ronda Seed para Automatizar Back Offices Corporativos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/samsung-chip-workers-reject-bonus-strike-over-ai-windfall-payout-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:22:11.407Z</news:publication_date>
      <news:title>Samsung Workers Win 13% Profit Share, Demand It Be Annual</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/samsung-chip-workers-reject-bonus-strike-over-ai-windfall-payout-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:22:11.407Z</news:publication_date>
      <news:title>Trabalhadores da Samsung conquistam 13% de participação no lucro, exigem que seja anual</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/samsung-chip-workers-reject-bonus-strike-over-ai-windfall-payout-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T05:22:11.407Z</news:publication_date>
      <news:title>Trabajadores de Samsung consiguen 13% de participación en ganancias, exigen que sea anual</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/eu-eyes-curbs-on-us-cloud-for-sensitive-government-data-processing</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:34:12.735Z</news:publication_date>
      <news:title>Commission Proposes EU Ban on U.S. Cloud for Government Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/eu-eyes-curbs-on-us-cloud-for-sensitive-government-data-processing</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:34:12.735Z</news:publication_date>
      <news:title>Comissão Propõe Proibição da UE a Nuvem Americana para Dados Governamentais</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/eu-eyes-curbs-on-us-cloud-for-sensitive-government-data-processing</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:34:12.735Z</news:publication_date>
      <news:title>Comisión Propone Prohibición de la UE sobre Nube Estadounidense para Datos Gubernamentales</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/outlier-tokens-in-diffusion-transformers-cause-efficiency-loss</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:04:11.352Z</news:publication_date>
      <news:title>Rice and Apple researchers cut image-generation FID 22% with token fix</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/outlier-tokens-in-diffusion-transformers-cause-efficiency-loss</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:04:11.352Z</news:publication_date>
      <news:title>Pesquisadores de Rice e Apple reduzem FID 22% na geração de imagens com correção de tokens</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/outlier-tokens-in-diffusion-transformers-cause-efficiency-loss</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T04:04:11.352Z</news:publication_date>
      <news:title>Investigadores de Rice y Apple reducen FID 22% en generación de imágenes con corrección de tokens</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/first-token-confidence-detects-hallucinations-without-repeated-sampling</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:32:11.444Z</news:publication_date>
      <news:title>First-Token Entropy Rivals Multi-Sample Hallucination Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/first-token-confidence-detects-hallucinations-without-repeated-sampling</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:32:11.444Z</news:publication_date>
      <news:title>Entropia do Primeiro Token Rival Detecção de Alucinação Multi-Amostra</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/first-token-confidence-detects-hallucinations-without-repeated-sampling</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:32:11.444Z</news:publication_date>
      <news:title>Entropía del Primer Token Rivaliza Detección de Alucinación Multi-Muestra</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/mri-eval-benchmarking-llms-on-vendor-specific-medical-device-knowledge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:00:11.861Z</news:publication_date>
      <news:title>MRI-Eval Finds LLMs Score 97% on Flashcards, 30% on Open Recall</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/mri-eval-benchmarking-llms-on-vendor-specific-medical-device-knowledge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:00:11.861Z</news:publication_date>
      <news:title>MRI-Eval Encontra LLMs com 97% em Flashcards, 30% em Recordação Livre</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/mri-eval-benchmarking-llms-on-vendor-specific-medical-device-knowledge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T03:00:11.861Z</news:publication_date>
      <news:title>MRI-Eval Encuentra LLMs con 97% en Tarjetas de Estudio, 30% en Recordación Abierta</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/q2rl-robots-learn-from-demos-then-improve-online-without-forgetting-baseline-pol</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T02:26:11.428Z</news:publication_date>
      <news:title>Q2RL Reaches 100% Success on Peg Insertion, Outpacing BC and IBRL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/q2rl-robots-learn-from-demos-then-improve-online-without-forgetting-baseline-pol</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T02:26:11.428Z</news:publication_date>
      <news:title>Q2RL Atinge 100% de Sucesso em Inserção de Pino, Superando BC e IBRL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/q2rl-robots-learn-from-demos-then-improve-online-without-forgetting-baseline-pol</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T02:26:11.428Z</news:publication_date>
      <news:title>Q2RL Alcanza 100% de Éxito en Inserción de Espiga, Superando BC e IBRL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/understanding-in-context-learning-transformers-as-nonlinear-regression-featurize</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:55:11.193Z</news:publication_date>
      <news:title>Purdue and Georgia Tech Prove Transformers Extract Nonlinear Features in Context</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/understanding-in-context-learning-transformers-as-nonlinear-regression-featurize</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:55:11.193Z</news:publication_date>
      <news:title>Purdue e Georgia Tech Provam que Transformers Extraem Features Não-lineares em Contexto</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/understanding-in-context-learning-transformers-as-nonlinear-regression-featurize</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:55:11.193Z</news:publication_date>
      <news:title>Purdue y Georgia Tech Demuestran que los Transformers Extraen Features No-lineales en Contexto</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/longseeker-managing-context-in-long-horizon-search-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:24:11.577Z</news:publication_date>
      <news:title>LongSeeker Beats Competitors on Long-Horizon Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/longseeker-managing-context-in-long-horizon-search-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:24:11.577Z</news:publication_date>
      <news:title>LongSeeker Supera Competidores em Tarefas de Longo Horizonte</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/longseeker-managing-context-in-long-horizon-search-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T01:24:11.577Z</news:publication_date>
      <news:title>LongSeeker Supera a Competidores en Tareas de Largo Horizonte</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/design-conductor-20-agents-build-inference-accelerators-in-80-hours</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:52:11.484Z</news:publication_date>
      <news:title>Verkor&apos;s Agentic System Closes RTL-to-Layout in 80 Hours</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/design-conductor-20-agents-build-inference-accelerators-in-80-hours</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:52:11.484Z</news:publication_date>
      <news:title>Sistema Agentic da Verkor Encerra RTL-para-Layout em 80 Horas</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/design-conductor-20-agents-build-inference-accelerators-in-80-hours</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:52:11.484Z</news:publication_date>
      <news:title>Sistema Agentic de Verkor Cierra RTL-a-Layout en 80 Horas</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/arm-claims-ai-native-chip-strategy-boosts-cpu-revenue</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:20:11.821Z</news:publication_date>
      <news:title>ARM&apos;s AI data center CPU hits $2 billion in customer demand</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/arm-claims-ai-native-chip-strategy-boosts-cpu-revenue</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:20:11.821Z</news:publication_date>
      <news:title>CPU de data center de IA da ARM atinge $2 bilhões em demanda de clientes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/arm-claims-ai-native-chip-strategy-boosts-cpu-revenue</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-10T00:20:11.821Z</news:publication_date>
      <news:title>CPU para data center de IA de ARM alcanza $2 mil millones en demanda de clientes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/santander-ai-labs-cafe-framework-finds-multi-agent-llms-lose-a-third-of-quality-</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T18:00:11.931Z</news:publication_date>
      <news:title>Multi-Agent LLMs Lose One-Third Quality But Signal Recovery Path</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/santander-ai-labs-cafe-framework-finds-multi-agent-llms-lose-a-third-of-quality-</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T18:00:11.931Z</news:publication_date>
      <news:title>LLMs Multi-Agent Perdem Um Terço da Qualidade Mas Sinalizam Caminho para Recuperação</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/santander-ai-labs-cafe-framework-finds-multi-agent-llms-lose-a-third-of-quality-</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T18:00:11.931Z</news:publication_date>
      <news:title>LLMs Multi-Agent Pierden Un Tercio de Calidad Pero Señalan Ruta de Recuperación</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/anthropics-natural-language-autoencoders-reveal-claude-hides-safety-test-suspici</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T15:30:11.401Z</news:publication_date>
      <news:title>Claude&apos;s Safety Tests Fail When Model Hides Suspicions Inside</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/anthropics-natural-language-autoencoders-reveal-claude-hides-safety-test-suspici</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T15:30:11.401Z</news:publication_date>
      <news:title>Testes de Segurança Falham Quando o Modelo do Claude Esconde Suspeitas no Seu Interior</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/anthropics-natural-language-autoencoders-reveal-claude-hides-safety-test-suspici</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T15:30:11.401Z</news:publication_date>
      <news:title>Pruebas de Seguridad Fracasan Cuando el Modelo de Claude Oculta Sospechas en Su Interior</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/anthropics-dreaming-feature-lets-claude-agents-self-improve-between-sessions-wit</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T12:22:11.558Z</news:publication_date>
      <news:title>Anthropic Adds Autonomous Memory to Claude Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/anthropics-dreaming-feature-lets-claude-agents-self-improve-between-sessions-wit</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T12:22:11.558Z</news:publication_date>
      <news:title>Anthropic Adiciona Memória Autônoma a Agentes Claude</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/anthropics-dreaming-feature-lets-claude-agents-self-improve-between-sessions-wit</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T12:22:11.558Z</news:publication_date>
      <news:title>Anthropic Añade Memoria Autónoma a Agentes Claude</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/pcie-80-spec-reaches-1-tbs-bandwidth-next-gen-ai-interconnect-ratified</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T00:02:49.857Z</news:publication_date>
      <news:title>PCIe 8.0 Spec Hits 1 TB/s, Targets 2028 Ratification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/pcie-80-spec-reaches-1-tbs-bandwidth-next-gen-ai-interconnect-ratified</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T00:02:49.857Z</news:publication_date>
      <news:title>Especificação PCIe 8.0 Atinge 1 TB/s, Mira Ratificação em 2028</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/pcie-80-spec-reaches-1-tbs-bandwidth-next-gen-ai-interconnect-ratified</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-09T00:02:49.857Z</news:publication_date>
      <news:title>Especificación PCIe 8.0 Alcanza 1 TB/s, Apunta a Ratificación en 2028</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/nvidia-spectrum-x-ethernet-ai-native-fabric-sets-new-standard-for-gigascale-trai</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T20:02:49.806Z</news:publication_date>
      <news:title>NVIDIA Adds Multipath Protocol to Spectrum-X Ethernet for AI Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/nvidia-spectrum-x-ethernet-ai-native-fabric-sets-new-standard-for-gigascale-trai</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T20:02:49.806Z</news:publication_date>
      <news:title>NVIDIA Adiciona Protocolo Multipath ao Spectrum-X Ethernet para Treinamento de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/nvidia-spectrum-x-ethernet-ai-native-fabric-sets-new-standard-for-gigascale-trai</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T20:02:49.806Z</news:publication_date>
      <news:title>NVIDIA Agrega Protocolo Multipath al Spectrum-X Ethernet para Entrenamiento de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/amds-su-pivots-forecast-on-ai-demand-boom-stock-rallies-15</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T19:02:49.781Z</news:publication_date>
      <news:title>AMD Doubles Server CPU Growth Forecast on AI Inference Demand</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/amds-su-pivots-forecast-on-ai-demand-boom-stock-rallies-15</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T19:02:49.781Z</news:publication_date>
      <news:title>AMD Dobra Previsão de Crescimento de Server CPUs com Demanda de IA Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/amds-su-pivots-forecast-on-ai-demand-boom-stock-rallies-15</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T19:02:49.781Z</news:publication_date>
      <news:title>AMD Duplica Proyección de Crecimiento de Server CPUs Impulsado por Demanda de IA Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/amd-specializes-epyc-cpu-roadmap-for-ai-signals-chip-vendor-competition</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T17:45:38.415Z</news:publication_date>
      <news:title>AMD Splits EPYC Line by Workload Starting Zen 6</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/amd-specializes-epyc-cpu-roadmap-for-ai-signals-chip-vendor-competition</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T17:45:38.415Z</news:publication_date>
      <news:title>AMD Divide Linha EPYC por Workload a Partir de Zen 6</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/amd-specializes-epyc-cpu-roadmap-for-ai-signals-chip-vendor-competition</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T17:45:38.415Z</news:publication_date>
      <news:title>AMD Divide la Línea EPYC por Carga de Trabajo a Partir de Zen 6</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/nvidia-and-corning-land-massive-optical-fiber-deal-to-power-ai-gigascale</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:35:37.315Z</news:publication_date>
      <news:title>Nvidia locks Corning into $3.2B optical fiber deal for AI racks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/nvidia-and-corning-land-massive-optical-fiber-deal-to-power-ai-gigascale</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:35:37.315Z</news:publication_date>
      <news:title>Nvidia prende Corning em acordo de US$ 3,2 bilhões em fibra óptica para racks de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/nvidia-and-corning-land-massive-optical-fiber-deal-to-power-ai-gigascale</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:35:37.315Z</news:publication_date>
      <news:title>Nvidia asegura a Corning en contrato de US$ 3,2 mil millones de fibra óptica para racks de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/mozilla-used-claude-mythos-to-find-dozens-of-deep-long-dormant-bugs-in-firefox</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:04:51.503Z</news:publication_date>
      <news:title>Mozilla Found 12 Critical Firefox Bugs Using Claude Mythos AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/mozilla-used-claude-mythos-to-find-dozens-of-deep-long-dormant-bugs-in-firefox</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:04:51.503Z</news:publication_date>
      <news:title>Mozilla Encontrou 12 Bugs Críticos do Firefox Usando Claude Mythos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/mozilla-used-claude-mythos-to-find-dozens-of-deep-long-dormant-bugs-in-firefox</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T16:04:51.503Z</news:publication_date>
      <news:title>Mozilla Encontró 12 Bugs Críticos en Firefox Usando Claude Mythos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/google-chromes-silent-4gb-ai-model-download-may-violate-eu-ai-act-researcher-war</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:52:49.459Z</news:publication_date>
      <news:title>Google Chrome Deploys 4GB AI Model Without User Consent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/google-chromes-silent-4gb-ai-model-download-may-violate-eu-ai-act-researcher-war</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:52:49.459Z</news:publication_date>
      <news:title>Google Chrome Implanta Modelo de IA de 4GB Sem Consentimento do Usuário</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/google-chromes-silent-4gb-ai-model-download-may-violate-eu-ai-act-researcher-war</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:52:49.459Z</news:publication_date>
      <news:title>Google Chrome Implementa Modelo de IA de 4GB Sin Consentimiento del Usuario</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/symptomai-clinical-conversational-agent-deployed-via-fitbit-for-real-world-triag</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:20:49.438Z</news:publication_date>
      <news:title>SymptomAI Outperforms Clinicians 2.47x in Real-World Trial</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/symptomai-clinical-conversational-agent-deployed-via-fitbit-for-real-world-triag</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:20:49.438Z</news:publication_date>
      <news:title>SymptomAI Supera Clínicos 2.47x em Ensaio Real</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/symptomai-clinical-conversational-agent-deployed-via-fitbit-for-real-world-triag</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T15:20:49.438Z</news:publication_date>
      <news:title>SymptomAI Supera a Clínicos 2.47x en Ensayo Real</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/openseeker-v2-proves-open-models-can-match-frontier-labs-on-agentic-searchsft-ov</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:50:38.746Z</news:publication_date>
      <news:title>OpenSeeker-v2 beats Alibaba&apos;s Tongyi on agentic search benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/openseeker-v2-proves-open-models-can-match-frontier-labs-on-agentic-searchsft-ov</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:50:38.746Z</news:publication_date>
      <news:title>OpenSeeker-v2 supera Tongyi da Alibaba em benchmarks de busca agentic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/openseeker-v2-proves-open-models-can-match-frontier-labs-on-agentic-searchsft-ov</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:50:38.746Z</news:publication_date>
      <news:title>OpenSeeker-v2 supera Tongyi de Alibaba en benchmarks de búsqueda agentic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/automated-multi-agent-system-composition-framework-replaces-manual-agent-selecti</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:20:37.520Z</news:publication_date>
      <news:title>Automated agent recommender cuts multi-agent system engineering steps to one</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/automated-multi-agent-system-composition-framework-replaces-manual-agent-selecti</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:20:37.520Z</news:publication_date>
      <news:title>Recomendador automático de agentes reduz etapas de engenharia de sistemas multi-agentes para uma</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/automated-multi-agent-system-composition-framework-replaces-manual-agent-selecti</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-08T14:20:37.520Z</news:publication_date>
      <news:title>Recomendador automático de agentes reduce pasos de ingeniería en sistemas multi-agentes a uno</news:title>
    </news:news>
  </url>
</urlset>