AI/ML Bootcamp

This bootcamp will present the basics of AI/machine learning (ML) for microwaves. The bootcamp is targeted to general audiences in the microwave community who are not necessarily experts in AI/ML. To start with, the course addresses basic questions such as: what is AI/ML. Why are AI/ML tools relevant to the microwave community. How can AI/ML be used in microwave design, and how can it be adopted in microwave circuits and system design. We also address what the benefits and limitations of using AI/ML in microwave technologies are. The course will introduce basic types of machine learning methods such as multilayer perceptrons, radial basis function networks, convolutional neural networks, time-delay neural networks, recurrent neural networks, long-short term memory networks, generative adversarial networks, and reinforcement learning. Examples of applications of AI/ML to microwaves to be presented include electromagnetic modeling and optimization, microwave filter modeling/design, GaN HEMT modeling, PA-DPD and I/Q imbalance mitigation, MIMO, SIW design, electromagnetic inverse scattering, breast cancer detection/localization, Doppler radar based human motion recognition, gesture recognition and object identification. This course is intended for engineers who want to learn the basics of AI/ML or are interested in using AI/ML for microwave applications, marketing and sales professionals who are interested in understanding the basics and relevance of AI/ML for microwaves, and university students who like to acquire the basic knowledge of AI/ML. The course will provide ample opportunities for audience interaction and Q&A.