In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.

翻译：本文重点阐述了机器学习在光通信均衡器实现方面的最新进展。我们既关注算法层面的进步，也探讨了基于传统硬件与神经形态硬件的实现方案。