The editorial discusses the resurgence of interest in learning within artificial intelligence and cognitive psychology. While learning was once a central focus in AI and psychology, it became secondary as the fields developed. However, in the past five years, there has been a renewed focus on learning due to dissatisfaction with performance models and the recognition that intelligent behavior requires domain-specific knowledge. Researchers hope that focusing on learning will lead to more general principles of intelligence, benefiting both psychology and AI. The editorial also discusses the need for a dedicated journal, Machine Learning, to address the growing community of researchers in this area. Although there are existing journals for AI and cognitive science, they do not adequately cover learning research. The new journal aims to foster quality research and strengthen the community. The field of machine learning is difficult to define but is characterized by its focus on systems that improve over time. It shares similarities with AI in its use of symbolic representations and heuristic approaches. The field includes a wide range of tasks, such as learning from examples, language acquisition, and problem-solving. It also integrates with traditional areas of AI and cognitive science. The editorial provides examples of research in machine learning, including the induction of decision trees and explanation-based learning. It also discusses the importance of general principles and the application of learning methods to real-world domains. The editorial encourages authors to submit papers that describe running systems showing improvement over time, emphasize principles of learning, and discuss the application of approaches to different domains. It also encourages theoretical treatments and replications of previous systems. The journal will emphasize basic research but also consider applications. The editorial concludes by expressing excitement about the future of machine learning and hopes that the journal will contribute to its growth and development.The editorial discusses the resurgence of interest in learning within artificial intelligence and cognitive psychology. While learning was once a central focus in AI and psychology, it became secondary as the fields developed. However, in the past five years, there has been a renewed focus on learning due to dissatisfaction with performance models and the recognition that intelligent behavior requires domain-specific knowledge. Researchers hope that focusing on learning will lead to more general principles of intelligence, benefiting both psychology and AI. The editorial also discusses the need for a dedicated journal, Machine Learning, to address the growing community of researchers in this area. Although there are existing journals for AI and cognitive science, they do not adequately cover learning research. The new journal aims to foster quality research and strengthen the community. The field of machine learning is difficult to define but is characterized by its focus on systems that improve over time. It shares similarities with AI in its use of symbolic representations and heuristic approaches. The field includes a wide range of tasks, such as learning from examples, language acquisition, and problem-solving. It also integrates with traditional areas of AI and cognitive science. The editorial provides examples of research in machine learning, including the induction of decision trees and explanation-based learning. It also discusses the importance of general principles and the application of learning methods to real-world domains. The editorial encourages authors to submit papers that describe running systems showing improvement over time, emphasize principles of learning, and discuss the application of approaches to different domains. It also encourages theoretical treatments and replications of previous systems. The journal will emphasize basic research but also consider applications. The editorial concludes by expressing excitement about the future of machine learning and hopes that the journal will contribute to its growth and development.