Description
This course presents an in-depth study of Renormalizing Generative Models (RGMs), the next evolution in AI technology. Students will explore how RGMs overcome deep learning limitations by providing a unified, scale-free approach to diverse AI tasks, from perception and learning to decision-making. Unlike traditional models, RGMs operate on the Free Energy Principle, enabling them to adapt and optimize in real time with minimal data requirements. Through hierarchical and recursive processing, RGMs mimic human-like reasoning, understanding, and prediction across multiple scales of data.
This course offers insights into RGMs’ applications across fields like autonomous systems, healthcare, and climate modeling, preparing students to understand and utilize this revolutionary framework in dynamic, real-world scenarios.
