Introducing Machine Learning: Science and Technology

Abstract

Abstract Due to the remarkable progress of ever-growing digitalisation and computing capabilities, data has become increasingly abundant, and machine learning has emerged as a key ingredient in many enabling technologies within modern society. Its potential for pushing the frontiers of science is now also clear and has been demonstrated in various domains extending from novel materials design, quantum physics and the simulation of molecules and chemical systems, to particle physics, medical imaging, space science, climate science and drug discovery. Conceived in close consultation with the community, Machine Learning: Science and Technology has been launched as a unique multidisciplinary, open access journal that will bridge the application of machine learning across the natural sciences with new conceptual advances in machine learning methods as motivated by physical insights.