The approaches discussed until now are improving workflows in nearly all steps of SAXS experimentation (step (C) to (E) in Fig. ). A last step (F) potentially closes the loop towards a fully automatized experimentation. This challenge is currently been taken up under the label of Autonomous Experimentation. Beaucage and Martin report on the development of an open liquid handling platform for autonomous formulation and x-ray scattering . Yager and coworkers review this new paradigm and show how autonomous x-ray scattering can enhance efficiency, and help discover new materials . Concluding Remarks Small-angle x-ray scattering is an old method that is currently seeing an enormous increase in activity due to highly brilliant x-ray sources, more performant x-ray optics and -most recently -rapid progress in the treatment and the analysis of large amounts of data. Machine learning approaches play an important role in this development that has really just begun.