Revolutionizing the Edge with TinyML

We live in a world where even our day-to-day activities like checking the weather, scrolling through social media, or taking photos depend on machine learning (ML) models. Traditionally, ML models operate on the cloud. The technology is often used to conduct data management and data processing on the relevant data gathered from Internet of Things (IoT) devices connected to the cloud network. However, this traditional ML model and IoT ecosystem have their own drawbacks and problems, which should be resolved soon to transform our world into a better-connected place. Let's take a look at the challenges posed by traditional cloud-based ML models and how'tiny' machine learning (tinyML) can help resolve them.