Deep learning world beyond vision, sound and NLP
Ever wondered what the current deep learning and AI movement consists of? Which topics are overcrowded and which are overlooked? What problems are very well studied and what are still waiting for their AI heroes (hint: not only genome analysis)? Let’s take a closer look at the statistics behind the massive flow of AI research and development publications and find out.