Artificial Intelligence and Machine Learning: New Methods for Earth System Science
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The Earth system is unique and highly complex, presenting a daunting challenge to researchers that seek to model and understand it. Noting that existing approaches seem unable to arrive at reliable predictions for the implications of CO2 emissions, in this video, MARKUS REICHSTEIN proposes that new methodologies incorporating machine learning and artificial intelligence be brought to bear on the problem.
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Identifying notable parallels between conceptual challenges in the Earth system and successful applications of machine learning, Reichstein is careful to foreground problematic aspects of AI, arguing that the best methodological approach may well be hybrid, involving more traditional modeling alongside the data centered approach.
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More Information about Prof. Markus Reichstein:
https://de.wikipedia.org/wiki/Markus_Reichstein
This LT Publication is divided into the following chapters:
0:00 Question
2:05 Method
3:40 Findings
5:28 Relevance
6:17 Outlook
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Vinyl or analog records have experienced a tremendous upsurge in popularity over the last decade. In this video, DOMINIK BARTMANSKI analyzes the reasons underlying vinyl’s resurgence in an age where digital music seemed destined to wipe it out.
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It has been heretofore understood that patterns of cloudiness are controlled by large scale weather systems. In this video, BJORN STEVENS challenges this orthodoxy, arguing that small and intermediate scales of motion play a key role in determining the Eart
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Massive algae blooms appear in spring in certain bodies of water only to vanish within a number of weeks. In this video, BERNHARD M. FUCHS analyzes the degradation of such algae, exploring which organisms are involved and what they actually do.
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