Training supercomputers
Training supercomputers
Artificial intelligence also involves learning from images. It’s all about training rather than programming. In the process known as “deep learning,” the computer draws on and analyzes huge amounts of data. This allows the AI to make its own decisions and means that it no longer has to rely on every conceivable possibility being programmed beforehand. And with the infinite number of different situations that can occur on the road, this would be simply impossible. But this ability requires immense computing power.
For AI to be able to recognize each situation, interpret it based on experience, and then take action, neural networks need to be simulated and vast amounts of data have to be processed within the shortest amount of time. Only computers with extremely fast processors have this capability, such as the
ZF ProAI
. This mobile supercomputer was created in cooperation with Nvidia, the world’s leading supplier of graphics processing units. The US company specializes in creating artificial worlds like the scenarios found in computer games. The ZF ProAI computer platform uses this ability the other way around. Instead of creating an artificial image, the computer translates the real world into a data model in which the algorithm gets increasingly better at finding its way around. Every single learning experience is shared in the cloud and is made available to all other systems the next time the algorithm is updated. As such, every ZF ProAI benefits from swarm intelligence.
By 2030, up to
15
%
of newly registered vehicles in Germany could be autonomous.