Machine Intelligence for Electromagnetic Computations

The objective of this talk is three-fold: First, we provide a thorough overview of various applications of machine learning algorithms to microwave and antenna problems over the years. Second, we review recent advances in machine learning that are relevant to computational electromagnetics and their implementation via relevant open source software platforms. Third, we present applications of machine learning to wireless propagation problems, and the design optimization of touch input sensors.