Embedding Machine Learning For Resource-constrained Computing Platforms

This article discusses the increasing use of machine learning (ML) applications in various domains, including personal, scientific, and industrial. It also explores the role of IoT devices in collecting data for ML models and the challenges of implementing ML on embedded systems. The article highlights the potential for ML to optimize the operations of embedded systems and its applications in scientific and industrial fields.