Upscaling uses algorithms to increase an image's resolution, by inventing new pixels based on surrounding pixels. AI uses artificial intelligence and deep learning to add better guess what a pixels should be. The downside is that it can introduce visual distortions such as blurriness, smearing, or "ghosting," particularly with fast-moving objects or very low base resolutions and can never be as sharp as detail captured at its native resolution.
As to noise, increasing the focal length, (even with a teleconvertor) doesn't increase noise, lowering the SNR does. Understanding where noise comes from and exposing for a full data file is the solution. See a simple explanation
What Is Noise in Photography?