The editorial discusses the resurgence of interest in learning within artificial intelligence (AI) and cognitive psychology, driven by dissatisfaction with pure performance models of intelligence and advancements in representational and performance issues. The field of machine learning, which focuses on computational approaches to learning, has emerged as a distinct area of research, characterized by its emphasis on systems that improve over time. The journal *Machine Learning* is established to foster quality research and community among researchers in this field. The field is defined by its focus on intelligent systems improving their performance over time, using symbolic representations and heuristic approaches. Traditional tasks include learning from examples, language acquisition, and scientific discovery. The journal encourages submissions that describe running systems showing improvement, reveal general principles of learning, and are clearly written with concrete examples. The editors aim to provide rapid reviews and useful feedback, fostering a dynamic and exciting research environment.The editorial discusses the resurgence of interest in learning within artificial intelligence (AI) and cognitive psychology, driven by dissatisfaction with pure performance models of intelligence and advancements in representational and performance issues. The field of machine learning, which focuses on computational approaches to learning, has emerged as a distinct area of research, characterized by its emphasis on systems that improve over time. The journal *Machine Learning* is established to foster quality research and community among researchers in this field. The field is defined by its focus on intelligent systems improving their performance over time, using symbolic representations and heuristic approaches. Traditional tasks include learning from examples, language acquisition, and scientific discovery. The journal encourages submissions that describe running systems showing improvement, reveal general principles of learning, and are clearly written with concrete examples. The editors aim to provide rapid reviews and useful feedback, fostering a dynamic and exciting research environment.