Yes, the main focus is on inference. It's possible to re-train a simple model at this power scale, but it's often time very small model and not deep-learning. Nanoedge AI studio from STelectronic give you some tool to train the model after deployment on device.
It's often time used for predictive maintenance, in order to adapt each ML model at the water pump plugged, for example.
Yes, the main focus is on inference. It's possible to re-train a simple model at this power scale, but it's often time very small model and not deep-learning. Nanoedge AI studio from STelectronic give you some tool to train the model after deployment on device.
It's often time used for predictive maintenance, in order to adapt each ML model at the water pump plugged, for example.