Dylan cut his teeth on RNNs for language tagging, back when tlearn was a thing. After Engineering, CS and Computational Neuroscience degrees, he spent some time investigating computation in mammalian brains. Now he guides an ML R&D team for SynSense, to use spiking NNs for signal processing and ML inference, on low-power hardware.