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tdgros t1_j2m63e5 wrote

Reply to comment by waiting4omscs in [D] Simple Questions Thread by AutoModerator

I can't say for sure, but there isn't necessarily any online training. You can imagine some hypernetwork regressing good parameters for a low level task such as controlling the shoes' motors. It could also be a combination of good old school sensor fusion and a nice marketing speech ;)

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waiting4omscs t1_j2ndilk wrote

It's a real task to separate marketing from implementation. Appreciate this response. I have a few things to learn more about, "hypernetwork" and "sensor fusion". Thank you

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tdgros t1_j2nfzj6 wrote

a hypernetwork is a term that can be used when a network outputs coefficients for another network.

Sensor fusion is typically used with low-level sensors that are noisy, biased, limited in their dynamics... but can complement each other, be "fused". For UAV navigation, we fuse accelerometers, gyros, pressure sensors, GPS and vision...

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comradeswitch t1_j33yet8 wrote

And what you describe can also happen partially, where a model is developed offline that "learns to learn" or simply pretrained on data that's likely to be representative, and then this is placed on the embedded system that has a much simpler learning task or just starts out much closer to optimal.

But I think you nailed it with the last sentence. I need the Scooby Doo meme, where it's "AI on a wearable embedded computer" revealed to have been a Kalman filter all along.

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