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Chalmers University of Technology
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Domain-specific tools can deliver 90% accuracy in optical network management while slashing token usage by three times compared to their generic counterparts.
Achieving over 99% accuracy in anomaly detection and classification without retraining could revolutionize security protocols in optical networks.
Human-understandable explanations for AI decisions can be achieved by augmenting traditional XAI methods with LLMs and mutual feature interactions, leading to significantly improved interpretability.
Achieving over 83% improvement in cross-system accuracy for optical threat detection could redefine the robustness of ML models in diverse environments.
