NEC Laboratories America

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Machine Learning in Optical Communication Networks is the application of AI models to optimize, monitor, and control optical data transmission. NEC Labs America develops techniques for fault prediction, traffic management, and adaptive modulation using machine learning. These methods improve efficiency, reduce downtime, and support scalable communication systems, ensuring that global networks can meet the demands of AI workloads and cloud computing.

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Toward Intelligent and Efficient Optical Networks: Performance Modeling, Co-existence, and Field Trials

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Optical transmission networks require intelligent traffic adaptation and efficient spectrum usage. We present scalable machine learning (ML) methods for network performance modeling, andfield trials of distributed fiber sensing and classic optical network traffic coexistence.

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