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The implementation of neural networks in analogue substrates is gaining substantial momentum in recent years. Besides encouraging progress, one needs to keep in mind and address the essential challenges: the scalability of such a computing architecture. I will highlight some of the relevant challenges and put them into relationships with recently demonstrated experimental systems.