Edge AI—An Industry View

Editor’s notes: This keynote article offers an industrial viewpoint of Edge AI, emphasizing the convergence of machine learning and embedded systems for intelligent, low-power applications. The authors identify the critical role of microcontrollers and neural processing units in enabling local machine learning execution under severe resource constraints, illustrating the technical aspects and real-world relevance of such systems. With a focus on practical use cases and emerging application domains, this keynote article explains the practical implications of TinyML. —Theocharis Theocharides, University of Cyprus, Cyprus —Marian Verhelst, KU Leuven, Belgium —Vijay Janapa Reddy, Harvard University, USA —Evgeni Gousev, Qualcomm, USA