Artificial Intelligence (AI) will be used to improve our understanding the climate and earth.
Complex dynamic processes such as hurricanes, fire propagation, and vegetation dynamics can be better described with the help of AI, said researchers from the Friedrich Schiller University Jena (FSU) in Germany.
The static attributes have been investigated using machine learning approaches and with the combined AI and physical modelling,it is easy to study the climate changes in the earth according to the study published in the journal of Nature.
“From a plethora of sensors, a deluge of Earth system data has become available, but so far we have been lagging behind in analysis and interpretation,” said Markus Reichstein, managing director of the Max Planck Institute for Biogeochemistry.
“This is where deep learning techniques become a promising tool, beyond the classical machine learning applications such as image recognition, natural language processing or AlphaGo,” said Joachim Denzler from the Friedrich Schiller University Jena (FSU).