Startup improves AI training procedures for autonomous cars

April 10, 2019 //By Christoph Hammerschmidt
Startup improves AI training procedures for autonomous cars
The startup company understand.ai (Karlsruhe, Germany) has developed a procedure to improve the training algorithms for self-driving cars; the training thus can be done faster and with better quality. The procedure developed by the startup is also based on artificial intelligence.

algorithms must first be trained. This learning process requires a very large number of images. During this learning process, the images are marked, a process known as labeling. "An algorithm learns from examples, and the more examples there are, the more effectively it learns," explains Philip Kessler, one of the two founders of understand.ai. For the training, the car industry needs a lot of image and video material for machine learning for autonomous driving. The objects on the pictures are traditionally marked by hand. "Large companies employ thousands of workers in low-wage countries; the process is laborious and time-consuming," explains Kessler. "At understand.ai, we use Artificial Intelligence, which makes it ten times faster and more accurate to do this marking.”


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