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_Nature Machine Intelligence_ publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI.  We also explore and discuss the

significant impact that these fields have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can

enhance human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and safe and sustainable cities, transport and agriculture. At the same time,

many important questions on ethical, social and legal issues arise, especially given the fast pace of developments. _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. Like all Nature-branded journals, _Nature Machine

Intelligence_ is run by a team of professional editors and dedicated to a fair and rigorous peer-review process, high standards of copy-editing and production, swift publication, and

editorial independence. 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.