When combined with cloud services and, increasingly, machine learning, these are no longer just cameras or microphones but new endpoints or distribution for services – they’re unbundled pieces of apps. (‘Echo, interfaces and friction’) This process is only just beginning – it now seems that some machine learning use cases can be embedded into very small and cheap devices. You might train an ‘is there a person in this image?’ neural network in the cloud with a vast image set – but to run it, you can put it on a cheap DSP with a cheap camera, wrap it in plastic and sell it for $10 or $20. These devices will let you use machine learning everywhere, but also let machine learning watch or listen everywhere.
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