Solving the problems of unconstrained technological innovation: Three models of inclusive society

The recommendations in this thesis are relevant for research and consultancy firms specialized in social aspects of technology. The problem that is analyzed is how in the future society can remain inclusive, when faced with the problems of technological innovation and the possibility of it causing technological unemployment. Researching such...

How do deep neural networks perform optical flow estimation?: A neuropsychology-inspired study

End-to-end trained Convolutional Neural Networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural networks...