Neural Hardware for Image Recognition in Nanoseconds

Automatic image recognition is widely used today. There are computer programs that can reliably diagnose skin cancer, navigate self-driving cars, or control robots. Up to now, all this has been based on the evaluation of image data as delivered by normal cameras and that is time-consuming. Especially when the number of images recorded per second is high, a large volume of data is generated that can hardly be handled.