The vision of the Berlin Center for Machine Learning (BZML) is to further develop ML methods along the entire ML cycle by closely interlinking basic and applied research.

This interdisciplinary entanglement forms a powerful feedback loop between new ML techniques as well as innovations in the participating scientific fields.

The Centre achieves this through synergetic and coordinated cooperation between leading ML experts and related disciplines, as well as through transfer and reuse of innovative ML methods in scientific applications.

The combined focus on core issues of ML and the interdisciplinary integration to three areas of application – Bio-medicine, Digital Humanities and Communications –  are to be developed as the four pillars of the BZML.