Open AccessAdvancing AI for Earth Science: A Data Systems Perspective
Author(s) -
Manil Maskey,
Hamed Alemohammad,
Kevin J. Murphy,
Rahul Ramachandran
Publication year - 2020
Publication title -
eos
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2020eo151245
Subject(s) - perspective (graphical) , earth system science , earth (classical element) , astrobiology , data science , engineering ethics , earth science , computer science , geology , engineering , artificial intelligence , physics , astronomy , oceanography
Tackling data challenges and incorporating physics into machine learning models will help unlock the potential of artificial intelligence to answer Earth science questions.