Introducing machine learning: Science and technology

Abstract

Due to the remarkable progress of ever-growing digitalisation and computing capabilities, data has becomeincreasingly abundant, andmachine learning hasemerged as a key ingredient inmany enabling technologies withinmodern society. Its potential for pushing the frontiers of science is nowalso clear and has been demonstrated in various domains extending fromnovelmaterials design, quantumphysics and the simulation ofmolecules and chemical systems, to particle physics,medical imaging, space science, climate science and drug discovery.Conceived in close consultationwith the community, Machine Learning: Science and Technology has been launched as a uniquemultidisciplinary, open access journal thatwill bridge the application ofmachine learning across the natural sciences with new conceptual advances inmachine learningmethods asmotivated by physical insights.