<?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/european-ai-startups-aggressively-poach-talent-from-big-tech</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T07:05:37.699Z</news:publication_date>
      <news:title>Giannandrea&apos;s Move Signals European AI Startups&apos; Silicon Valley Recruitment Push</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/european-ai-startups-aggressively-poach-talent-from-big-tech</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T07:05:37.699Z</news:publication_date>
      <news:title>O movimento de Giannandrea sinaliza push de recrutamento no Vale do Silício de startups europeias de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/european-ai-startups-aggressively-poach-talent-from-big-tech</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T07:05:37.699Z</news:publication_date>
      <news:title>El movimiento de Giannandrea señala el impulso de reclutamiento en Silicon Valley de startups europeas de IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/dynamic-skill-management-for-llm-agents-improves-transparency</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:34:48.548Z</news:publication_date>
      <news:title>SLIM improves LLM agent performance 7 percentage points</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/dynamic-skill-management-for-llm-agents-improves-transparency</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:34:48.548Z</news:publication_date>
      <news:title>SLIM melhora performance de agentes LLM em 7 pontos percentuais</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/dynamic-skill-management-for-llm-agents-improves-transparency</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:34:48.548Z</news:publication_date>
      <news:title>SLIM mejora desempeño de agentes LLM en 7 puntos porcentuales</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/shepherd-formalizes-ai-agent-execution-traces-for-auditability</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:02:48.586Z</news:publication_date>
      <news:title>Shepherd Raises Agent Accuracy 90% With Forking Traces</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/shepherd-formalizes-ai-agent-execution-traces-for-auditability</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:02:48.586Z</news:publication_date>
      <news:title>Shepherd Aumenta Precisão de Agentes em 90% Com Rastreamento por Bifurcação</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/shepherd-formalizes-ai-agent-execution-traces-for-auditability</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T06:02:48.586Z</news:publication_date>
      <news:title>Shepherd Aumenta Precisión de Agentes 90% Con Rastreo Por Ramificación</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/wildclawbench-first-real-world-benchmark-for-long-horizon-ai-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:30:48.535Z</news:publication_date>
      <news:title>WildClawBench: Claude Opus Clears 62% in Real-World Agent Evaluation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/wildclawbench-first-real-world-benchmark-for-long-horizon-ai-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:30:48.535Z</news:publication_date>
      <news:title>WildClawBench: Claude Opus Atinge 62% em Avaliação de Agent em Ambiente Real</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/wildclawbench-first-real-world-benchmark-for-long-horizon-ai-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:30:48.535Z</news:publication_date>
      <news:title>WildClawBench: Claude Opus Alcanza 62% en Evaluación de Agentes en Mundo Real</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/deco-sparse-moe-models-match-dense-transformer-speed-on-edge-devices</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:00:37.714Z</news:publication_date>
      <news:title>Sparse MoE Models Match Dense Transformers at 3× Faster Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/deco-sparse-moe-models-match-dense-transformer-speed-on-edge-devices</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:00:37.714Z</news:publication_date>
      <news:title>Modelos Sparse MoE Emparelham com Transformers Densos a 3× Mais Rápido em Inferência</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/deco-sparse-moe-models-match-dense-transformer-speed-on-edge-devices</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T05:00:37.714Z</news:publication_date>
      <news:title>Modelos Sparse MoE Equiparan Desempeño con Transformers Densos a 3× Más Rápido en Inferencia</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/beyond-adamw-survey-of-memory-efficient-and-curvature-based-llm-optimizers</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T04:28:48.576Z</news:publication_date>
      <news:title>Muon Optimizer Achieves 2× Speed Over AdamW in Production LLM Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/beyond-adamw-survey-of-memory-efficient-and-curvature-based-llm-optimizers</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T04:28:48.576Z</news:publication_date>
      <news:title>Otimizador Muon Atinge 2× de Velocidade sobre AdamW no Treinamento de LLM em Produção</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/beyond-adamw-survey-of-memory-efficient-and-curvature-based-llm-optimizers</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T04:28:48.576Z</news:publication_date>
      <news:title>Optimizador Muon Logra 2× de Velocidad sobre AdamW en Entrenamiento de LLM en Producción</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/civex-causal-verification-for-tool-using-language-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:50:48.372Z</news:publication_date>
      <news:title>CIVeX Logs Zero False Executions in Confounded Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/civex-causal-verification-for-tool-using-language-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:50:48.372Z</news:publication_date>
      <news:title>CIVeX Registra Zero Execuções Falsas em Workflows Confundidos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/civex-causal-verification-for-tool-using-language-agents</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:50:48.372Z</news:publication_date>
      <news:title>CIVeX Registra Cero Ejecuciones Falsas en Flujos Confundidos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/jensen-huang-joins-trump-china-trip-nvidia-signals-trade-policy-influence</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:20:37.411Z</news:publication_date>
      <news:title>Huang joins Trump&apos;s Beijing summit as Nvidia seeks China clarity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/jensen-huang-joins-trump-china-trip-nvidia-signals-trade-policy-influence</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:20:37.411Z</news:publication_date>
      <news:title>Huang se junta à delegação chinesa de Trump enquanto Nvidia busca clareza sobre mercado chinês</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/jensen-huang-joins-trump-china-trip-nvidia-signals-trade-policy-influence</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:20:37.411Z</news:publication_date>
      <news:title>Huang se une a la delegación china de Trump mientras Nvidia busca claridad sobre el mercado chino</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/prediction-bottlenecks-dont-discover-causal-structurenew-verification-needed</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:04:49.120Z</news:publication_date>
      <news:title>Paper Dismantles Causal Discovery Claim in Prediction Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/prediction-bottlenecks-dont-discover-causal-structurenew-verification-needed</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:04:49.120Z</news:publication_date>
      <news:title>Artigo Desmonta Alegação sobre Descoberta Causal em Modelos de Previsão</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/prediction-bottlenecks-dont-discover-causal-structurenew-verification-needed</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T03:04:49.120Z</news:publication_date>
      <news:title>Artículo Desmantela Afirmación sobre Descubrimiento Causal en Modelos de Predicción</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/emergent-semantic-role-understanding-appears-without-task-specific-fine-tuning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T02:32:48.422Z</news:publication_date>
      <news:title>Frozen Models Encode Semantic Roles Without Fine-Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/emergent-semantic-role-understanding-appears-without-task-specific-fine-tuning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T02:32:48.422Z</news:publication_date>
      <news:title>Modelos Congelados Codificam Papéis Semânticos Sem Fine-Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/emergent-semantic-role-understanding-appears-without-task-specific-fine-tuning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T02:32:48.422Z</news:publication_date>
      <news:title>Modelos Congelados Codifican Roles Semánticos Sin Fine-Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/google-disrupts-hacker-use-of-ai-for-scaled-mass-exploitation-campaigns</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T01:50:37.009Z</news:publication_date>
      <news:title>Google Confirms First AI-Written Zero-Day Exploit</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/google-disrupts-hacker-use-of-ai-for-scaled-mass-exploitation-campaigns</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T01:50:37.009Z</news:publication_date>
      <news:title>Google Confirma Primeiro Zero-Day Escrito por IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/google-disrupts-hacker-use-of-ai-for-scaled-mass-exploitation-campaigns</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T01:50:37.009Z</news:publication_date>
      <news:title>Google Confirma Primer Zero-Day Escrito por IA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/arm-cpus-capture-2b-in-ai-data-center-sales-yet-lag-95-market-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:50:48.561Z</news:publication_date>
      <news:title>Arm AGI CPU Lands $2B in Demand, Claims 4% Server Market Share</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/arm-cpus-capture-2b-in-ai-data-center-sales-yet-lag-95-market-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:50:48.561Z</news:publication_date>
      <news:title>CPU Arm AGI Atrai $2B em Demanda, Conquista 4% da Fatia de Mercado em Servidores</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/arm-cpus-capture-2b-in-ai-data-center-sales-yet-lag-95-market-share</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:50:48.561Z</news:publication_date>
      <news:title>CPU Arm AGI Atrae $2B en Demanda, Captura 4% de Cuota de Mercado en Servidores</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/mistral-tanstack-supply-chain-attack-exposes-cicd-credentials</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:20:38.328Z</news:publication_date>
      <news:title>Mini Shai-Hulud supply-chain attack targets Mistral and TanStack</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/mistral-tanstack-supply-chain-attack-exposes-cicd-credentials</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:20:38.328Z</news:publication_date>
      <news:title>Ataque à cadeia de suprimentos Mini Shai-Hulud atinge Mistral e TanStack</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/mistral-tanstack-supply-chain-attack-exposes-cicd-credentials</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:20:38.328Z</news:publication_date>
      <news:title>Ataque a la cadeia de suministro Mini Shai-Hulud apunta a Mistral y TanStack</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/local-first-ai-inference-cost-efficient-document-processing-at-the-edge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:00:37.865Z</news:publication_date>
      <news:title>Hybrid AI Routing Cuts Document Processing Costs 75%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/local-first-ai-inference-cost-efficient-document-processing-at-the-edge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:00:37.865Z</news:publication_date>
      <news:title>Roteamento Híbrido de IA Reduz Custos 75% em Processamento de Documentos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/local-first-ai-inference-cost-efficient-document-processing-at-the-edge</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-13T00:00:37.865Z</news:publication_date>
      <news:title>Enrutamiento Híbrido de IA Reduce Costos 75% en Procesamiento de Documentos</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/ai-data-centers-bypass-city-regs-by-targeting-rural-siting</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:40:48.471Z</news:publication_date>
      <news:title>AI Data Centers Shift to Rural Counties, Cutting Permitting Time to Months</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/ai-data-centers-bypass-city-regs-by-targeting-rural-siting</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:40:48.471Z</news:publication_date>
      <news:title>Centros de Dados de IA Migram para Condados Rurais, Reduzindo Tempo de Licenciamento a Meses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/ai-data-centers-bypass-city-regs-by-targeting-rural-siting</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:40:48.471Z</news:publication_date>
      <news:title>Centros de Datos de IA Migran a Condados Rurales, Reduciendo Tiempos de Licencias a Meses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/flow-opd-unified-post-training-for-text-to-image-diffusion-models</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:10:37.609Z</news:publication_date>
      <news:title>Flow-OPD Raises Stable Diffusion Accuracy to 92 From 63</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/flow-opd-unified-post-training-for-text-to-image-diffusion-models</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:10:37.609Z</news:publication_date>
      <news:title>Flow-OPD Eleva Precisão do Stable Diffusion para 92 de 63</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/flow-opd-unified-post-training-for-text-to-image-diffusion-models</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T08:10:37.609Z</news:publication_date>
      <news:title>Flow-OPD Eleva la Precisión de Stable Diffusion a 92 desde 63</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/enterprise-boards-hire-full-time-ai-officers-as-governance-matures</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T07:10:48.511Z</news:publication_date>
      <news:title>IBM Survey: 76% of Enterprises Now Have Chief AI Officers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/enterprise-boards-hire-full-time-ai-officers-as-governance-matures</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T07:10:48.511Z</news:publication_date>
      <news:title>Pesquisa IBM: 76% das Empresas Agora Têm Chief AI Officers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/enterprise-boards-hire-full-time-ai-officers-as-governance-matures</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T07:10:48.511Z</news:publication_date>
      <news:title>Encuesta IBM: 76% de las Empresas Ahora Tienen Chief AI Officers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/conformal-path-reasoning-trustworthy-knowledge-graph-qa-with-coverage-guarantees</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:40:36.821Z</news:publication_date>
      <news:title>Conformal Path Reasoning cuts knowledge graph answer sets by 40 percent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/conformal-path-reasoning-trustworthy-knowledge-graph-qa-with-coverage-guarantees</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:40:36.821Z</news:publication_date>
      <news:title>Conformal Path Reasoning reduz conjuntos de respostas em grafos de conhecimento em 40 por cento</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/conformal-path-reasoning-trustworthy-knowledge-graph-qa-with-coverage-guarantees</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:40:36.821Z</news:publication_date>
      <news:title>Conformal Path Reasoning reduce conjuntos de respuestas en grafos de conocimiento en 40 por ciento</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/rubric-grounded-rl-structured-rewards-for-better-llm-reasoning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:08:48.631Z</news:publication_date>
      <news:title>Los Alamos Team Trains 8B Model That Generalizes Across Reasoning Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/rubric-grounded-rl-structured-rewards-for-better-llm-reasoning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:08:48.631Z</news:publication_date>
      <news:title>Time de Los Alamos Treina Modelo de 8B que Generaliza em Benchmarks de Raciocínio</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/rubric-grounded-rl-structured-rewards-for-better-llm-reasoning</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T06:08:48.631Z</news:publication_date>
      <news:title>Equipo de Los Alamos Entrena Modelo de 8B que Generaliza en Benchmarks de Razonamiento</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/the-memory-curse-expanded-context-degrades-llm-cooperation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:36:48.704Z</news:publication_date>
      <news:title>Longer Context Degrades LLM Cooperation, Study Finds</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/the-memory-curse-expanded-context-degrades-llm-cooperation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:36:48.704Z</news:publication_date>
      <news:title>Contexto Mais Longo Degrada Cooperação de LLM, Revela Estudo</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/the-memory-curse-expanded-context-degrades-llm-cooperation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:36:48.704Z</news:publication_date>
      <news:title>Contexto Más Largo Degrada Cooperación de LLM, Revela Estudio</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/autotts-ai-driven-test-time-scaling-discovery-for-llms</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:05:37.095Z</news:publication_date>
      <news:title>AutoTTS Cuts Inference Costs 69.5% With Learned Test-Time Scaling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/autotts-ai-driven-test-time-scaling-discovery-for-llms</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:05:37.095Z</news:publication_date>
      <news:title>AutoTTS Reduz Custos de Inferência em 69,5% com Scaling Adaptativo em Tempo de Teste</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/autotts-ai-driven-test-time-scaling-discovery-for-llms</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T05:05:37.095Z</news:publication_date>
      <news:title>AutoTTS Reduce Costos de Inferencia 69,5% con Scaling Adaptativo en Tiempo de Prueba</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/chain-of-thought-may-hurt-performance-under-fixed-output-budgets</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:34:48.619Z</news:publication_date>
      <news:title>Coupling Tax: Reasoning Mode Cuts Accuracy Under Token Limits</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/chain-of-thought-may-hurt-performance-under-fixed-output-budgets</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:34:48.619Z</news:publication_date>
      <news:title>Imposto de Acoplamento: Modo de Raciocínio Reduz Precisão Sob Limites de Token</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/chain-of-thought-may-hurt-performance-under-fixed-output-budgets</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:34:48.619Z</news:publication_date>
      <news:title>Impuesto de Acoplamiento: El Modo de Razonamiento Reduce la Precisión Bajo Límites de Token</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/drip-r-benchmark-exposes-llm-agent-failures-under-real-world-policy-ambiguity</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:02:48.470Z</news:publication_date>
      <news:title>Frontier Models Disagree on Ambiguous Policies, DRIP-R Shows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/drip-r-benchmark-exposes-llm-agent-failures-under-real-world-policy-ambiguity</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:02:48.470Z</news:publication_date>
      <news:title>Modelos Frontier Discordam sobre Políticas Ambíguas, DRIP-R Mostra</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/drip-r-benchmark-exposes-llm-agent-failures-under-real-world-policy-ambiguity</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T04:02:48.470Z</news:publication_date>
      <news:title>Modelos Frontier Discrepan sobre Políticas Ambiguas, DRIP-R Demuestra</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/alibaba-claims-quantum-computing-dual-core-breakthrough</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T03:24:48.597Z</news:publication_date>
      <news:title>Alibaba-Backed Quantum Computer Lacks Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/alibaba-claims-quantum-computing-dual-core-breakthrough</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T03:24:48.597Z</news:publication_date>
      <news:title>Computador Quântico com Apoio Alibaba Carece de Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/alibaba-claims-quantum-computing-dual-core-breakthrough</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T03:24:48.597Z</news:publication_date>
      <news:title>Computadora Cuántica Respaldada por Alibaba Carece de Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/georgia-ai-data-center-consumed-29m-gallons-water-undetected-for-15-months</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:52:48.718Z</news:publication_date>
      <news:title>QTS Data Center Drew 29M Gallons Undetected for 15 Months</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/georgia-ai-data-center-consumed-29m-gallons-water-undetected-for-15-months</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:52:48.718Z</news:publication_date>
      <news:title>Data Center QTS Consumiu 29M de Galões Sem Detecção por 15 Meses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/georgia-ai-data-center-consumed-29m-gallons-water-undetected-for-15-months</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:52:48.718Z</news:publication_date>
      <news:title>Data Center QTS Consumió 29M de Galones sin Detección Durante 15 Meses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/mysql-97-brings-enterprise-features-to-community-edition-for-ai-data-ops</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:20:48.474Z</news:publication_date>
      <news:title>MySQL 9.7 Opens Enterprise Features to Community Users</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/mysql-97-brings-enterprise-features-to-community-edition-for-ai-data-ops</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:20:48.474Z</news:publication_date>
      <news:title>MySQL 9.7 Abre Recursos Empresariais para Usuários da Comunidade</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/mysql-97-brings-enterprise-features-to-community-edition-for-ai-data-ops</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T02:20:48.474Z</news:publication_date>
      <news:title>MySQL 9.7 Abre Características Empresariales a Usuarios de la Comunidad</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/maryland-slaps-state-with-2b-data-center-grid-bill-escalates-regulator-fight-ove</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:50:37.605Z</news:publication_date>
      <news:title>Maryland challenges PJM&apos;s $2 billion data center cost allocation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/maryland-slaps-state-with-2b-data-center-grid-bill-escalates-regulator-fight-ove</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:50:37.605Z</news:publication_date>
      <news:title>Maryland desafia metodologia de alocação de custos de PJM de $2 bilhões em data centers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/maryland-slaps-state-with-2b-data-center-grid-bill-escalates-regulator-fight-ove</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:50:37.605Z</news:publication_date>
      <news:title>Maryland desafía la asignación de costos de $2 mil millones de PJM para data centers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/nvidia-raises-equity-stakes-above-40b-in-2026-signaling-ai-consolidation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:20:36.813Z</news:publication_date>
      <news:title>Nvidia&apos;s $40B Equity Bet Builds Captive AI Market</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/nvidia-raises-equity-stakes-above-40b-in-2026-signaling-ai-consolidation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:20:36.813Z</news:publication_date>
      <news:title>Aposta de US$40 bi da Nvidia Constrói Mercado de IA Cativamente</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/nvidia-raises-equity-stakes-above-40b-in-2026-signaling-ai-consolidation</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T01:20:36.813Z</news:publication_date>
      <news:title>La Apuesta de $40 mil millones de Nvidia Construye un Mercado de IA Cautivo</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/cloudflares-dynamic-workflows-durable-execution-for-per-tenant-and-per-agent-cod</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:48:48.624Z</news:publication_date>
      <news:title>Cloudflare Adds Runtime Code Loading to Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/cloudflares-dynamic-workflows-durable-execution-for-per-tenant-and-per-agent-cod</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:48:48.624Z</news:publication_date>
      <news:title>Cloudflare Adiciona Carregamento de Código em Runtime aos Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/cloudflares-dynamic-workflows-durable-execution-for-per-tenant-and-per-agent-cod</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:48:48.624Z</news:publication_date>
      <news:title>Cloudflare Agrega Carga de Código en Runtime a Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/en/article/wall-street-shifts-ai-chip-bet-intel-amd-soar-as-nvidia-momentum-slows</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:00:37.424Z</news:publication_date>
      <news:title>Wall Street Reprices AI Chips for Full-Stack Demand, Not GPU Alone</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/pt/article/wall-street-shifts-ai-chip-bet-intel-amd-soar-as-nvidia-momentum-slows</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>pt-BR</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:00:37.424Z</news:publication_date>
      <news:title>Wall Street Reprecia Demanda Full-Stack em Chips de IA, Não Apenas GPU</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiexpert.news/es/article/wall-street-shifts-ai-chip-bet-intel-amd-soar-as-nvidia-momentum-slows</loc>
    <news:news>
      <news:publication>
        <news:name>ai|expert</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-12T00:00:37.424Z</news:publication_date>
      <news:title>Wall Street Reprecia la Demanda Full-Stack en Chips de IA, No Solo GPU</news:title>
    </news:news>
  </url>
</urlset>