The vehicle records its surroundings with sensors and thermal imaging, "learns" to adapt its driving functions to this environment, uses intelligent navigation, and communicates with other AI-Defined Vehicles and intelligent infrastructure. What sounds futuristic is already a reality. AI algorithms enable real-time vehicle diagnostics and environmental perception. Essential to this is so-called Edge Computing – data processing within the vehicle itself. Because only in this way can cars react in real-time and much faster than a human ever could. Making vehicles smarter, safer, and more user-friendly is a core task at the Virtual Vehicle and is also a topic at our annual specialist conference, GSVF. ​