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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale

    A new research paper proposes an autonomous event-driven multi-agent orchestration system designed for enterprise AI at scale. The study evaluates two architectures, DAG Plan and Execute and ReAct, across various enterprise scenarios and scales. Results indicate that performance degradation at larger scales is primarily due to agent discovery noise, with simple tasks being more affected. A novel Task Manager was introduced to improve continuous operation by reducing latency and enhancing event correctness. AI

    Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale

    IMPACT This research could enable more robust and scalable AI systems for complex enterprise tasks.

  2. Windows 11 update preview promises faster launches, puts Task Manager on NPU patrol

    Microsoft is previewing a Windows 11 update that aims to improve application launch speeds and enhance system performance. A key feature involves the Task Manager gaining the ability to monitor and manage tasks running on the Neural Processing Unit (NPU). This update also includes a known issue that could potentially cause installation rollbacks. AI

    Windows 11 update preview promises faster launches, puts Task Manager on NPU patrol

    IMPACT Enhances AI hardware utilization on Windows PCs, potentially improving performance for AI-accelerated applications.