Tiny machine learning brings AI to IoT devices - EDN

One advantage that the IoT brought to design was the ability for a small local device to access the network's virtually-unlimited computing power. The Amazon Echo is a classic example: a low-cost local device that provided powerful speech recognition AI and an immense application library by way of its Internet connection. Now, some of that AI is moving into the local device to help minimize bandwidth and latency concerns by employing an efficient form of machine learning (ML) for smaller devices. An example of what can be accomplished by placing AI in edge devices can be found in the article AI helps turn gas sensor into electronic nose. In this instance the ML that generates the sensor's algorithms takes place during the design cycle, and the local device simply runs the algorithm.