Special Topics in Electromagnetics

In this course, we will introduce the basic model algorithms, the architectures, and the training principles of mostly advanced ultra large-scale AI models, and their engineering applications. The class will cover the ultra large-scale AI models including Convolution Neural Network, Recurrent Neural Network, Reinforcement Learning as well as transformer based network, diffusion models, VAE, and other multimodal (LLM and VLLM) generative models. In addition, these advanced models will be used for engineering purposes such as estimations, design optimizations, and decision makings.