Studie der Universit?t Augsburg zeigt, welche Informationen Anwendern helfen, die Qualit?t selbstlernender Algorithmen zu beurteilen_足球竞彩网_365bet体育在线投注-【中国科学院】

Self-learning computer programmes can do a great deal today: predict the weather, discover tumours in X-rays, play chess better than any human being. How the algorithms draw their conclusions, however, is often not even known by those who programmed them. Researchers at the University of Augsburg and the Israel Institute of Technology (Technion) have now compared two approaches to shed some light on this "black box".