3 ms·
If a device is already IoT, that diminishes the value-add of TinyML. Just send all the data home and run inference there, at greater efficiency and with the pos
by wongarsu 3y ago
If a device is already IoT, that diminishes the value-add of TinyML. Just send all the data home and run inference there, at greater efficiency and with the possibility to find other revenue streams for that data.
Or the other way around, if a device uses TinyML there's less reason to make it IoT, and the people who appreciate TinyML are probably exactly those who oppose IoT.
- lakid 3y agowhat happens if bandwidth is expensive and/or not reliable ? Being able to summarise data and make decisions at the edge without having to consult 'home' every single time is very useful. Perhaps I only want to collect 'interesting' data for anomalous events.