Continental wants cars that learn more quickly
The DAX Group is investing in an Israeli company that wants to speed up machine learning. The basis is autonomous evaluation of large data volumes.
25 Sep 2019 Roland FreistShare
Many of the hopes of the automobile industry are currently based on driverless cars that take their passengers to their destination independently. Artificial intelligence is required for this to recognize street signs, road markings and traffic situations, for example. Currently the systems are undergoing the complex process of training with labeled images and videos, which is referred to as human labeling. The German automobile industry suppler
According to Cartica, the system is able to learn independently by evaluating large data volumes and foreseeing situations, for example. In a video, the company uses the example of a ball that rolls out onto the street. The artificial intelligence knows that in many cases a child will be running after the ball and prepares itself to brake. Continental is investing in Cartica along with the risk capital investors
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