Physics-based AI unlocks first global predictions of carbon cycling in ocean sediments
Researchers at The University of Manchester have developed a new physics-based artificial intelligence approach that, for the first time, enables accurate global-scale predictions of how dissolved organic carbon moves between seawater and marine sediments, a crucial but previousl
Researchers at The University of Manchester have developed a new physics-based artificial intelligence approach that, for the first time, enables accurate global-scale predictions of how dissolved organic carbon moves between seawater and marine sediments, a crucial but previousl This story matters for Science & Discovery readers tracking engineering. Reported by phys.org. Read the full original at the source link below.
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