Machine Learning and Neuromorphic Computing Approaches for the mitigation of transmission impairments in high baud rate transmission systems

We review our recent work in machine learning and neuromorphic processing for the mitigation of transmission impairments at very high baud rates. Bidirectional recurrent neural networks and neuromorphic recurrent spectral slicers emerge as promising solutions for mid-term deployment in long-haul and short-reach communication systems respectively.