Neural Hardware for Image Recognition in Nanoseconds

1/3 images A picture is analyzed by the chip, which then provides the appropriate output signal. Graphik: Joanna Symonowicz, TU Wien, free to download and use Graphik: Joanna Symonowicz, TU Wien, free to download and use - An ultra-fast image sensor with a built-in neural network has been developed at TU Wien (Vienna). It can be trained to recognize certain objects. It has now been presented in "Nature". 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.