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September 10, 2025Frontiers in Robotics and AIOpen Access

Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures

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Authors

AGAllan GrosvenorAZAnton ZemlyanskyAWAbdul Wahab

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Overview

This research presents a hybrid intelligence system utilizing machine learning and symbolic reasoning, indicating enhanced decision-making in complex tasks.

Key Points

  • The hybrid intelligence system achieves a precision-recall score of 0.98 in anomaly detection across 15,000 objects.
  • Using autoML-driven optimizers, the system improves boundary layer capture propagation from 8% to 98% while reducing failure rates significantly.
  • Scalable architecture allows linear performance across 2,000 compute nodes, facilitating efficient AI model training.
  • Integrating symbolic reasoning and advanced machine learning provides a flexible framework for automating diverse knowledge work.

Cite This Study

Grosvenor et al. (2025) studied this question.

synapsesocial.com/papers/68c23fc3b210217d647978e8https://doi.org/10.3389/frobt.2025.1566623
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