AI and neural networks are essential building blocks for automated driving, for example in the classification and tracking of objects or in determining the route in traffic. In addition, they help to optimize many other automotive applications, reduce the cost of ECUs, improve their performance and accelerate their market launch. For example, AI and neural networks enable optimized autocalibration of engines and reduce the number of sensors required by generating precise mathematical models of the physical reactions in a system. At the same time, AI applications require significantly more computing power than standard algorithms. Therefore, Infineon's Aurix microcontrollers will be equipped with a Parallel Processing Unit (PPU) specifically for processing AI algorithms. For the development of the PPU, the chip manufacturer uses the processor IP of the ARC EV from Sysnopsys.