School of Marxism, CUG
中国地质大学马克思主义学院

China

1 November 2019 - 31 October 2020

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China University of Geosciences (CUG)

↳ School of Marxism, CUG

Research Center for Psychological and Health Sciences, CUG

Center for Global Tectonics (CGT), CUG

Collaborative Innovation Center for Exploration of Strategic Mineral Resources, CUG

College of Computer Science, CUG

College of Marine Science and Technology, CUG

Faculty of Earth Resources, CUG

Department of Petroleum Geology, CUG

Faculty of Engineering, CUG

National Center for International Research on Deep Earth Drilling and Resource Development, CUG

Faculty of Information Engineering, CUG

Faculty of Material Science and Chemistry Engineering, CUG

MOE Engineering Research Center of Nano-Geomaterials, CUG

Sustainable Energy Laboratory, CUG

Gemological Institute, CUG

Institute of Geological Survey, CUG

Institute of Geomatic Engineering, CUG

Institute of Geophysics and Geomatics, CUG

Hubei Subsurface Multi-scale Imaging Laboratory (SMIL), CUG

MOE Key Laboratory of Tectonics and Petroleum Resources, CUG

MOE Three Gorgrs Research Center for Geohazards (TGRC), CUG

School of Automation, CUG

School of Earth Sciences, CUG

Department of Geography, CUG

Hubei Provincial Key Laboratory of Critical Zone Evolution, CUG

Planetary Science Institute (PSI), CUG

State Key Laboratory of Geological Processes and Mineral Resources (GPMR), CUG

School of Environmental Studies, CUG

Department of Atmospheric Science, CUG

Department of Biological Sciences and Technology, CUG

Laboratory of Basin Hydrology and Wetland Eco‐restoration, CUG

School of Geography and Information Engineering, CUG

School of Mathematics and Physics, CUG

School of Mechanical Engineering and Electronic Information, CUG

State Key Laboratory of Biogeology and Environmental Geology, CUG

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Nature Index 2020 Artificial Intelligence

Artificial intelligence is one of the most rapidly advancing and controversial topics in scientific research. As investments and revenues soar year-on-year and nations vie for leadership in the field, AI research output continues its steep, upward trajectory. But there are significant ethical and technical challenges to overcome.

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