How does Cartica.AI change the world of Artificial Intelligence?

Traditional AI has significant challenges and limitations. As an example let us look at computer vision for automotive safety or autonomy. These systems need to detect objects like a traffic sign, a car or a pedestrian. In order to learn about objects they have to be taught about how those look. One big problem is that there are many so called Edge Cases in which objects look slightly different from the hundreds / thousands which have been taught so far. So if traffic signs are partly covered, dirty or bended, trucks have a odd load, pedestrians are particularly small or tall or they wear different clothing, that is a problem for traditional neural networks.