I'm very into TinyML - not because of IoT but because small and fast models work well in (clientside) webpages, in realtime systems and pretty much everywhere.

I'm very into TinyML - not because of IoT but because small and fast models work well in (clientside) webpages, in realtime systems and pretty much everywhere. All while consuming less resources, which should be celebrated. Also, it's more democratic - anyone can compete in this field, supercomputer not needed. IMO, what is needed is a larger focus on resource consumption in competitions, benchmarks and rankings. For example, I like that you can rank some lists on paperswithcode by number of parameters [1]. [1] https://paperswithcode.com/sota/image-classification-on-imagenet?metric=Number%20of%20params&dimension=Top%201%20Accuracy https://paperswithcode.com/sota/image-classification-on-imag...