Inference on the edge is a clear trend in computer vision applications, now that we each year there are better low-power neural network accelerators.
Right, and if it's not on the cloud, it runs locally, as everything did before "cloud" became popular. We don't need to call it "edge" just to raise VC money or put out some PR. We can just say it runs locally, on-device, etc.
If (big if) and when Adobe realizes that their Creative Cloud was a bad idea, are they going to call the next product "Adobe Edge Edition! Wow you can actually run PhotoShop on your own desktop!"?
To me, "edge" means more than just "not cloud". It's appropriately used when making the point that computations happen where the data is gathered and the output is required (which seems actually not to be the case in TFA, but still). It's when computations are not offloaded elsewhere at all, not just "not to the cloud".
This is how literally everything was done before the internet. It shouldn't be thought of as a new fancy concept.