This talk begins with Gottfried Wilhelm von Leibniz and his contributions to enrichments in fields of computational intelligence and learning processes to better understand present obsessions with data and our new sociability in mathematical performance. Today this is articulated most readily in contemporary deep mining and machine learning applications, where generalised pattern recognition and prediction limit techno-human relations.
