Nature Machine Intelligence
Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. It also explores and discusses the significant impact that these fields have on other scientific disciplines as well as many aspects of society and industry.
Goal / Target audience
Nature Machine Intelligence provides a platform to discuss these wide implications — encouraging a cross-disciplinary dialogue — with Comments, News Features, News & Views articles and also Correspondence.
Publisher
Springer Nature Switzerland AG
Topics/ Content
Disciplines covered in the journal: AI, robotics, AI and cognitive science, human-robot interaction, machine learning, deep learning, reinforcement learning, robot learning, artificial neural networks, symbolic reasoning, computer vision, natural language processing, genetic and evolutionary computing, neuro-inspired computing, humanoid robots, swarm robotics, bio-inspired robotics, soft robotics, multi-agent systems and so on.
ISSN
2522-5839
More information
https://www.nature.com/natmachintell/

