- Cloud computing provides scalable infrastructure ideal for data storage, processing, and model training for large-scale AI applications. - Edge computing involves processing data closer to the source (e.g., sensors on waste bins/trucks) to enable real-time insights and actions in applications like smart waste management. - Fog computing extends cloud capabilities closer to the edge via a distributed network of nodes. While it could potentially be part of a larger V2X (Vehicle-to-Everything) ecosystem, the core real-time safety processing for autonomous driving happens on the vehicle itself, which is characteristic of Edge computing.