https://aiexpert.news/en/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert en 2026-05-26T19:48:15.639Z IBM's $2B Quantum Bet Targets First Neutral Wafer Fab in U.S. Portfolio https://aiexpert.news/pt/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert pt-BR 2026-05-26T19:48:15.639Z Aposta de US$ 2 bilhões da IBM em Quantum visa primeiro fab de wafer neutro nos EUA https://aiexpert.news/es/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert es 2026-05-26T19:48:15.639Z Apuesta cuántica de IBM de $2.000 millones en la primera fábrica de wafers neutra en el portafolio de EE. UU. https://aiexpert.news/en/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert en 2026-05-26T18:30:15.248Z Mac Clusters Run 671B Models On-Prem for $38K https://aiexpert.news/pt/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert pt-BR 2026-05-26T18:30:15.248Z Clusters de Mac Studio Oferecem Inferência de 671B-Parâmetros por $32.000 https://aiexpert.news/es/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert es 2026-05-26T18:30:15.248Z Clústeres de Mac Studio ofrecen inferencia de 671B-parámetros por $32,000 https://aiexpert.news/en/article/smoke-planb2-1779803697724 ai|expert en 2026-05-26T14:24:15.493Z Mistral's 30B mixture-of-depths model remains unconfirmed but would fill a code-stack gap https://aiexpert.news/pt/article/smoke-planb2-1779803697724 ai|expert pt-BR 2026-05-26T14:24:15.493Z Modelo de Mistura de Profundidades de 30B do Mistral permanece não confirmado, mas preencheria uma lacuna na pilha de código https://aiexpert.news/es/article/smoke-planb2-1779803697724 ai|expert es 2026-05-26T14:24:15.493Z Modelo de mezcla de profundidades de 30B de Mistral sigue sin confirmarse pero llenaría un vacío en la pila de código https://aiexpert.news/en/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert en 2026-05-26T12:50:15.280Z ActiveGraph Inverts Agent Architecture, Putting Event Log First https://aiexpert.news/pt/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert pt-BR 2026-05-26T12:50:15.280Z ActiveGraph Inverte Arquitetura de Agentes, Colocando Log de Eventos em Primeiro Lugar https://aiexpert.news/es/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert es 2026-05-26T12:50:15.280Z ActiveGraph Invierte la Arquitectura de Agentes, Colocando el Registro de Eventos Primero https://aiexpert.news/en/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert en 2026-05-26T12:00:15.856Z Uber Burned Its 2026 AI Budget in Four Months https://aiexpert.news/pt/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert pt-BR 2026-05-26T12:00:15.856Z Uber Queimou Seu Orçamento de IA de 2026 em Quatro Meses https://aiexpert.news/es/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert es 2026-05-26T12:00:15.856Z Uber Gastó Su Presupuesto de IA de 2026 en Cuatro Meses https://aiexpert.news/en/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert en 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Break Partition-Consumer Coupling https://aiexpert.news/pt/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert pt-BR 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Quebram o Acoplamento Partição-Consumer https://aiexpert.news/es/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert es 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Rompen el Acoplamiento Partición-Consumer https://aiexpert.news/en/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert en 2026-05-26T08:28:15.264Z LoopMDM Cuts Training FLOPs 3.3× by Recycling Transformer Layers https://aiexpert.news/pt/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert pt-BR 2026-05-26T08:28:15.264Z LoopMDM Reduz FLOPs de Treinamento 3.3× ao Reciclar Camadas Transformer https://aiexpert.news/es/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert es 2026-05-26T08:28:15.264Z LoopMDM Reduce FLOPs de Entrenamiento 3.3× al Reciclar Capas Transformer https://aiexpert.news/en/article/veritrace-evolving-mental-models-in-deep-research-agents ai|expert en 2026-05-26T07:56:15.430Z VeriTrace Improves Research Agents Without Scaling Models https://aiexpert.news/pt/article/veritrace-evolving-mental-models-in-deep-research-agents ai|expert pt-BR 2026-05-26T07:56:15.430Z VeriTrace Melhora Agentes de Pesquisa Sem Escalar Modelos https://aiexpert.news/es/article/veritrace-evolving-mental-models-in-deep-research-agents ai|expert es 2026-05-26T07:56:15.430Z VeriTrace Mejora Agentes de Investigación Sin Escalar Modelos https://aiexpert.news/en/article/claw-anything-benchmarking-agents-with-full-digital-context-access ai|expert en 2026-05-26T07:24:15.342Z Claw-Anything Benchmark Sets 34.5% Ceiling for Always-On Agents https://aiexpert.news/pt/article/claw-anything-benchmarking-agents-with-full-digital-context-access ai|expert pt-BR 2026-05-26T07:24:15.342Z Benchmark Claw-Anything Estabelece Limite de 34,5% para Agentes Always-On https://aiexpert.news/es/article/claw-anything-benchmarking-agents-with-full-digital-context-access ai|expert es 2026-05-26T07:24:15.342Z Benchmark Claw-Anything Establece un Límite de 34,5% para Agentes Always-On https://aiexpert.news/en/article/orpquant-power-of-two-transformer-quantization-for-edge-inference ai|expert en 2026-05-26T06:52:15.439Z OrpQuant Runs 7B Models on Edge Silicon Without Multipliers https://aiexpert.news/pt/article/orpquant-power-of-two-transformer-quantization-for-edge-inference ai|expert pt-BR 2026-05-26T06:52:15.439Z OrpQuant Executa Modelos 7B em Silicon Edge Sem Multiplicadores https://aiexpert.news/es/article/orpquant-power-of-two-transformer-quantization-for-edge-inference ai|expert es 2026-05-26T06:52:15.439Z OrpQuant Ejecuta Modelos 7B en Silicon Edge Sin Multiplicadores https://aiexpert.news/en/article/beyond-patch-summary-ai-assisted-code-review-that-catches-implicit-logic-changes ai|expert en 2026-05-26T06:20:15.462Z IBM Framework Classifies Code Changes at 84% Recall https://aiexpert.news/pt/article/beyond-patch-summary-ai-assisted-code-review-that-catches-implicit-logic-changes ai|expert pt-BR 2026-05-26T06:20:15.462Z Framework IBM Classifica Mudanças de Código com 84% de Recall https://aiexpert.news/es/article/beyond-patch-summary-ai-assisted-code-review-that-catches-implicit-logic-changes ai|expert es 2026-05-26T06:20:15.462Z Marco de Trabajo IBM Clasifica Cambios de Código con 84% de Recall https://aiexpert.news/en/article/forgiving-models-robust-teams-self-generated-replay-stops-catastrophic-forgettin ai|expert en 2026-05-26T05:48:15.397Z Self-Generated Replay Cuts Catastrophic Forgetting in Fine-Tuned Models https://aiexpert.news/pt/article/forgiving-models-robust-teams-self-generated-replay-stops-catastrophic-forgettin ai|expert pt-BR 2026-05-26T05:48:15.397Z Reprodução Autogenerada Reduz o Esquecimento Catastrófico em Modelos Ajustados https://aiexpert.news/es/article/forgiving-models-robust-teams-self-generated-replay-stops-catastrophic-forgettin ai|expert es 2026-05-26T05:48:15.397Z La Reproducción Autogenerada Reduce el Olvido Catastrófico en Modelos Ajustados https://aiexpert.news/en/article/automated-benchmark-auditing-catching-hidden-flaws-in-ai-eval-benchmarks-at-scal ai|expert en 2026-05-26T05:16:15.181Z Stanford Framework Reveals Hidden Flaws in AI Benchmarks https://aiexpert.news/pt/article/automated-benchmark-auditing-catching-hidden-flaws-in-ai-eval-benchmarks-at-scal ai|expert pt-BR 2026-05-26T05:16:15.181Z Framework da Stanford Revela Falhas Ocultas em Benchmarks de IA https://aiexpert.news/es/article/automated-benchmark-auditing-catching-hidden-flaws-in-ai-eval-benchmarks-at-scal ai|expert es 2026-05-26T05:16:15.181Z Marco de Stanford Revela Defectos Ocultos en Benchmarks de IA https://aiexpert.news/en/article/mobilegym-open-agentic-environment-for-verifiable-mobile-gui-agents-at-scale ai|expert en 2026-05-26T04:45:55.143Z MobileGym Solves Mobile-Agent Reproducibility at Scale https://aiexpert.news/pt/article/mobilegym-open-agentic-environment-for-verifiable-mobile-gui-agents-at-scale ai|expert pt-BR 2026-05-26T04:45:55.143Z MobileGym Resolve Reprodutibilidade de Agentes Móveis em Escala https://aiexpert.news/es/article/mobilegym-open-agentic-environment-for-verifiable-mobile-gui-agents-at-scale ai|expert es 2026-05-26T04:45:55.143Z MobileGym Resuelve Reproducibilidad de Agentes Móviles a Escala https://aiexpert.news/en/article/smoke-test-1779763521430 ai|expert en 2026-05-26T03:12:14.985Z Claude Opus 4.7 hits 1M context window at unchanged pricing https://aiexpert.news/pt/article/smoke-test-1779763521430 ai|expert pt-BR 2026-05-26T03:12:14.985Z Claude Opus 4.7 atinge janela de contexto de 1M com preços inalterados https://aiexpert.news/es/article/smoke-test-1779763521430 ai|expert es 2026-05-26T03:12:14.985Z Claude Opus 4.7 alcanza ventana de contexto de 1M con precios sin cambios https://aiexpert.news/en/article/microsoft-mdash-scaling-vulnerability-detection-across-ai-workloads ai|expert en 2026-05-25T20:26:15.689Z Microsoft MDASH Finds 16 Windows Bugs with 100 AI Agents https://aiexpert.news/pt/article/microsoft-mdash-scaling-vulnerability-detection-across-ai-workloads ai|expert pt-BR 2026-05-25T20:26:15.689Z Microsoft MDASH Encontra 16 Bugs do Windows com 100 Agentes IA https://aiexpert.news/es/article/microsoft-mdash-scaling-vulnerability-detection-across-ai-workloads ai|expert es 2026-05-25T20:26:15.689Z Microsoft MDASH Encuentra 16 Bugs de Windows con 100 Agentes IA https://aiexpert.news/en/article/measuring-llm-explanation-quality-narrative-vs-persuasive-framing-in-human-judgm ai|expert en 2026-05-25T06:48:15.306Z Study: AI Narrative Explanations Boost User Trust, Not Accuracy https://aiexpert.news/pt/article/measuring-llm-explanation-quality-narrative-vs-persuasive-framing-in-human-judgm ai|expert pt-BR 2026-05-25T06:48:15.306Z Estudo: IA Aumenta Confiança, Não Precisão do Usuário https://aiexpert.news/es/article/measuring-llm-explanation-quality-narrative-vs-persuasive-framing-in-human-judgm ai|expert es 2026-05-25T06:48:15.306Z Estudio: Las Explicaciones Narrativas de IA Aumentan la Confianza del Usuario, No la Precisión https://aiexpert.news/en/article/from-raw-experience-to-skill-consumption-agent-skill-reuse-study ai|expert en 2026-05-25T05:52:15.543Z Model Scale Fails to Predict Extracted Skill Performance https://aiexpert.news/pt/article/from-raw-experience-to-skill-consumption-agent-skill-reuse-study ai|expert pt-BR 2026-05-25T05:52:15.543Z Escala de Modelo Não Prevê Desempenho de Habilidades Extraídas https://aiexpert.news/es/article/from-raw-experience-to-skill-consumption-agent-skill-reuse-study ai|expert es 2026-05-25T05:52:15.543Z La Escala del Modelo No Predice el Desempeño de Habilidades Extraídas https://aiexpert.news/en/article/developer-scraps-buggy-agentmemory-after-week-in-production-ships-ai-memory-buil ai|expert en 2026-05-25T05:20:15.337Z Five Bugs Killed agentmemory in Seven Days https://aiexpert.news/pt/article/developer-scraps-buggy-agentmemory-after-week-in-production-ships-ai-memory-buil ai|expert pt-BR 2026-05-25T05:20:15.337Z Cinco Bugs Mataram agentmemory em Sete Dias https://aiexpert.news/es/article/developer-scraps-buggy-agentmemory-after-week-in-production-ships-ai-memory-buil ai|expert es 2026-05-25T05:20:15.337Z Cinco Bugs Mataron agentmemory en Siete Días https://aiexpert.news/en/article/llms-as-noisy-channels-shannon-law-explains-scaling-non-monotonicity ai|expert en 2026-05-25T04:48:15.259Z Shannon-Hartley Theorem Explains LLM Quantization Regressions https://aiexpert.news/pt/article/llms-as-noisy-channels-shannon-law-explains-scaling-non-monotonicity ai|expert pt-BR 2026-05-25T04:48:15.259Z Teorema de Shannon-Hartley Explica Regressões de Quantização em LLMs https://aiexpert.news/es/article/llms-as-noisy-channels-shannon-law-explains-scaling-non-monotonicity ai|expert es 2026-05-25T04:48:15.259Z Teorema de Shannon-Hartley Explica Regresiones de Cuantización en LLMs https://aiexpert.news/en/article/complete-mue-hyperparameter-transfer-for-scaling-moe-models ai|expert en 2026-05-25T04:16:15.142Z Complete-muE Lets Teams Transfer Dense Hyperparameters to MoE https://aiexpert.news/pt/article/complete-mue-hyperparameter-transfer-for-scaling-moe-models ai|expert pt-BR 2026-05-25T04:16:15.142Z Complete-muE Permite que Equipes Transfiram Hiperparâmetros Densos para MoE https://aiexpert.news/es/article/complete-mue-hyperparameter-transfer-for-scaling-moe-models ai|expert es 2026-05-25T04:16:15.142Z Complete-muE Permite que los Equipos Transfieran Hiperparámetros Densos a MoE https://aiexpert.news/en/article/skillopt-systematic-optimization-for-self-evolving-agent-skills ai|expert en 2026-05-25T03:45:55.131Z Microsoft's SkillOpt Lifts Agent Accuracy 24 Points via Automated Skill Refinement https://aiexpert.news/pt/article/skillopt-systematic-optimization-for-self-evolving-agent-skills ai|expert pt-BR 2026-05-25T03:45:55.131Z SkillOpt da Microsoft Eleva Precisão de Agentes em 24 Pontos via Refinamento Automático de Skills https://aiexpert.news/es/article/skillopt-systematic-optimization-for-self-evolving-agent-skills ai|expert es 2026-05-25T03:45:55.131Z SkillOpt de Microsoft Eleva la Precisión de Agentes 24 Puntos mediante Refinamiento Automático de Skills https://aiexpert.news/en/article/memaudit-detecting-poisoned-agent-memory-via-causal-attribution ai|expert en 2026-05-25T02:26:15.299Z MemAudit Cuts Memory-Poisoning Attacks to 0% https://aiexpert.news/pt/article/memaudit-detecting-poisoned-agent-memory-via-causal-attribution ai|expert pt-BR 2026-05-25T02:26:15.299Z MemAudit Reduz Ataques de Envenenamento de Memória a 0% https://aiexpert.news/es/article/memaudit-detecting-poisoned-agent-memory-via-causal-attribution ai|expert es 2026-05-25T02:26:15.299Z MemAudit Reduce Ataques de Envenenamiento de Memoria a 0%