TinyML: The Future of Machine Learning

Introducing TinyML, a state-of-the-art field that brings the performative power of ML to shrink deep structured earning networks to fit on tiny hardware. It is a new approach to edge computing that investigates the deployment and training of machine learning models on edge devices. TinyML is right at the intersection between embedded machine learning applications, hardware, software, and algorithms. It is an intersection of embedded systems and regular machine learning. It demands not just software expertise but also demands expertise in embedded systems – both of which have significant challenges of their own.