Machine Lear­ning: the talen­ted Mr. Robot

5. September 2018

Machine Lear­ning (ML) is the essen­tial prere­qui­site for the deve­lo­p­ment of Arti­fi­cial Intel­li­gence (AI). Rapid progress is already being made today, espe­cially in the areas of image and video analy­sis, speech reco­gni­tion and with incre­a­sing impor­t­ance in medi­cal diagnostics, process control and custo­mer manage­ment. But agri­cul­ture, consu­mer elec­tro­nics and the smart home will also be control­led by arti­fi­cial intelligence.

The leaders in ML tech­no­logy are North America and China with the most appli­ca­ti­ons and the largest number of patents. The situa­tion in Germany is very frag­men­ted. Here it is prima­rily large compa­nies and micro-enter­­pri­­ses and start-ups that are concer­ned with the further deve­lo­p­ment of Deep Lear­ning and Natu­ral Language Proces­sing (NLP). Small and medium-sized enter­pri­ses tend to be inse­cure, espe­cially since there is often a lack of tech­ni­cal compe­tence and access to the data requi­red for ML. A detailed analy­sis of compe­ten­cies, rese­arch and appli­ca­tion of ML is provi­ded by a publi­ca­tion of the Fraunhofer-Gesellschaft.