Nature Machine Intelligence [electronic resource] / edited by Liesbeth Venema.
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Серіальне виданняПублікація: London : Nature Publishing Group UK : Imprint: Nature Research.Опис: online resourceISSN: - 2522-5839
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Springer EJournals (till 2020.02 Network Access)
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Springer EJournals till 2020.02 (Open Access + Network Access)
Nature Machine Intelligence will publish high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. The journal will 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 will provide a platform to discuss these wide implications — encouraging a cross-disciplinary dialogue — with Comments, News Features, News & Views articles and also Correspondence.
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