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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Rather than referring to laws written and developed by the state, judges in Saudi Arabia largely rely on Islamic jurisprudence and the interpretation of sacred texts. In this video, DOMINIK KRELL explores how legal reform can occur in these circumstances.
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Different factors influence how households invest their savings. In this video, CHRISTIAN ZIMPELMANN explores the role that subjective beliefs about the stock market play in household investment decisions.
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Gathering data on stock holdings in the Netherl
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Individuals and governments often do not have as much time or experience as they would like when they need to make a decision. In this video, SARAH AUSTER explores the mechanism by which such decisions are made.
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Building a game theoretical model that dr