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Using AI to advance oceanography (view source)
Revision as of 17:14, 22 December 2022
, 17:14, 22 December 2022no edit summary
AI can provide a data-driven approach to analyzing ocean data. DFO has developed a predictive model to sift through the data piles of ocean data to find (dis-)similarities between multidimensional profiles of oceanographic data. '''The insights gained from the model can be used to answer any questions about dynamic changes in our oceans.'''
AI can provide a data-driven approach to analyzing ocean data. DFO has developed a predictive model to sift through the data piles of ocean data to find (dis-)similarities between multidimensional profiles of oceanographic data. '''The insights gained from the model can be used to answer any questions about dynamic changes in our oceans.'''
== The Challenge ==
== The Challenge ==
[[File:Ocean data.png|thumb|338x338px|<small>'''How Ocean Data is Collected?'''</small> <ref>https://argo.ucsd.edu/about/</ref>]]
[[File:Ocean data.png|thumb|338x338px|<small>'''How Ocean Data is Collected?'''</small> <ref>https://argo.ucsd.edu/about/</ref>]]