Aims & Scope
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 are beginning to have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can augment 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, human-robot interaction, machine learning, deep learning, probabilistic machine learning, reinforcement learning, robot learning, artificial neural networks, symbolic reasoning, computer vision, natural language processing, genetic and evolutionary computing, cognitive computing, humanoid robots, swarm robotics, bio-inspired robotics, soft robotics, neuro-inspired computing, multi-agent systems and so on.