Internet of Things and Tiny Machine Learning

Catalog description

Students are introduced to applied tiny machine learning (TinyML) for embedded Internet of Things (IoT) devices. The emergence of embedded machine learning (ML) frameworks like TensorFlow Lite for microcontrollers, coupled with the pervasiveness of low-power embedded devices will usher the proliferation of artificial intelligence (AI)-powered IoT devices. Topics include low-power design, energy harvesting, sensor data fusion and ML methods for lifetime prediction.