AI at the Edge: New Machine Learning Engine Deploys Directly on Sensors - News

ONE Tech, an AI and ML-driven company specializing in Internet of Things (IoT) solutions for network operators, enterprises, and more, has announced new capabilities of its MicroAI Atom product. MicroAI Atom is part of ONE Tech's Micro AI product line, and it now has the ability to train and run AI models at the edge, enabling a variety of individuals and entities to "reduce the costs of bringing intelligence to the edge and endpoint by at least 80 percent." According to ONE Tech's press release, MicroAI is a machine learning algorithm that is embedded into microcontroller units and operates a recursive analysis of device behavior. More specifically, MicroAI collects data from internal device sensors and utilizes a semi-supervised learning approach to come up with a complete view of device behavior. Semi-supervised learning refers to a machine learning method that makes use of some labeled data with a much larger amount of unlabeled data during the model's training phase. Other machine learning methods can either employ a fully supervised approach that would consist of using only labeled training data or a fully unsupervised approach that would consist of using only unlabeled training data.