Artificial intelligence (AI) and neural networks are becoming a key factor in developing safer, smart and eco-friendly cars. They are now fundamental building blocks for future automated driving applications such as object classification, target tracking, or path planning.
Furthermore, they play an important role in optimizing many other automotive applications, helping to reduce the cost of ECU systems, improving their performance and accelerating time-to-market.
For example, they enable an optimized engine auto-calibration and reduce the number of sensors by producing accurate mathematical models of the physical reactions occurring in a system. At the same time, however, AI applications require much higher computing power than standard algorithms.
In order to support AI-driven solutions with its future automotive microcontrollers, Infineon Technologies has started a collaboration with Synopsys, Silicon to Software™ partner for innovative companies developing the electronic products and software applications.
Next generation AURIX microcontrollers from Infineon will integrate a new high-performance AI accelerator called Parallel Processing Unit (PPU) that will employ Synopsys’ DesignWare ARC EV Processor IP. Already the AURIX supports certain types of neural networks. However, the companies claim the PPU will take its real-time and AI capabilities to an entirely new level enabling the AURIX to process the data from advanced sensors.
Source: Press Release