AI Optical Networks combine artificial intelligence with optical communication infrastructure to enhance fault detection, bandwidth allocation, and network efficiency. These systems apply machine learning to proactively monitor performance, adapt routing strategies, and predict failures. NECLA’s work in AI optical networks bridges photonics and AI, creating intelligent platforms that sustain massive data traffic, enable advanced sensing, and support emerging technologies that require high-speed, reliable global connectivity.

Posts

Multi-span OSNR and GSNR Prediction using Cascaded Learning

We implement a cascaded learning framework leveraging three different EDFA and fiber component models for OSNR and GSNR prediction, achieving MAEs of 0.20 and 0.14 dBover a 5-span network under dynamic channel loading.