The pinnacle of human achievement: we’ve finally reached it. What we have here is a never-ending bass solo generated by a recurrent neural network (RNN). It was trained on two hours of bass improvisation by musician Adam Neely.
It takes a whole lot of work to create stop-motion animation. After all, the characters and scenery in each and every frame need to be precisely positioned before snapping each still image. At the traditional film rate of 24 frames per second, you need to shoot 1440 individual photos for one minute of footage.
If there is one thing that I have learned, it is that imaging neural networks can produce some creepy results. But sometimes the results can be beautiful too. Chris Rodley used a deep learning algorithm to merge a book of dinosaurs with a book of flower paintings.