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    Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures by Allan Grosvenor, Anton Zemlyansky, Abdul Wahab, Kyrylo Bohachov, Aras Dogan, Dwyer Deighan

    Published 2025-07-01
    “…Scalability is a cornerstone, with the distributed training pipeline achieving linear scaling across 2,000 compute nodes for AI model training, while secure model aggregation incurs less than 4% latency in cross-domain settings.DiscussionBy blending symbolic precision with data-driven adaptability, this hybrid intelligence system offers a robust, transferable framework for automating complex knowledge work in domains like space operations and engineering simulations—and adjacent applications such as autonomous energy and industrial facility operations, paving the way for next-generation industrial AI systems.…”
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