The machine learning revolution in materials research. Machine learning (ML) and artificial intelligence (AI) applications are rapidly changing materials research. This issue of MRS Bulletin highlights how ML and AI are being used to accelerate contemporary materials research beyond more classical data-analysis workflows. This has resulted in faster materials design and discovery, faster computational models, autonomous and intelligent “robot researchers,” and automated discovery of physical models. The cover shows the Materials Research Society logo formed from a Ni-based superalloy made by direct metal laser melting and enabled by AI. This superalloy is used for the hot gas path components of land- and air-based turbomachines. This is an example of the use of probabilistic ML to accelerate the process parameter development in additive manufacturing of critical new high-temperature alloys. Courtesy of GE Research. See the technical theme that begins on p. 530.