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Thanks for posting @hsiaoer and looking forward to your ML classification follow-up post. I've been focused on similar research and read with interest the ARM D

Thanks for posting @hsiaoer and looking forward to your ML classification follow-up post. I've been focused on similar research and read with interest the ARM DynamIQ ML focus [0] as I believe this will open up ML edge processing on wearables, although hard to beat what Johny Srouji and team are doing. WatchOS 4 seems to support CoreML [1], do you plan to do inferencing on the device eventually? If so, cool! [0] https://community.arm.com/processors/b/blog/posts/arm-dynamiq-expanding-the-possibilities-for-artificial-intelligence https://community.arm.com/processors/b/blog/posts/arm-dynami... [1] https://developer.apple.com/library/content/releasenotes/General/WhatsNewInwatchOS/Articles/watchOS_4_0.html https://developer.apple.com/library/content/releasenotes/Gen...

hsiaoer 9y ago
Thanks for the link! Yes I would love to get the CoreML model onto the watch itself. I think the interesting part will be tweaking the model and exploring how we can build it with space, battery consumption, and resource utilization in mind. The nice thing is that we can possibly deploy 2 models (one to the phone and one on the watch): the one on the phone runs when the watch is nearby and is more robust. The other runs directly on the watch itself with some tradeoffs). We might discover that we need better hardware on the watch but that would be interesting to explore too.