For decades, AI progress meant bigger models, faster GPUs, and larger datasets. But what if there were a fundamentally different, and possibly more efficient way? A way that’s more flexible and fault-tolerant? A way that only needs a tiny fraction of the power to run? Neuromorphic computing, which aims to mimic the human brain in […]| Exoswan Insights