Last week the workshop Interfacing Machine Learning and Experimental Methods
for Surface Structures (IMPRESS) was held at the TU Graz. The advent of machine learning methods has drastically changed the way structure determination is performed, since it facilitates the rational design of (new) experiments and the analysis of large amounts of data. The target of the workshop was to bring experimentalists and theorists together, so that both
can learn and benefit from each other's expertise. About 50 scientists from Asia, America, and Europe followed the call, making the workshop a great success.