Robotics & Machine Learning Daily News2024,Issue(Feb.8) :1-2.DOI:10.1051/0004-6361/202348367

Data on Machine Learning Reported by Researchers at University of Groningen (Floppity : Enabling Self-consistent Exoplanet Atmospheric Retrievals With Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.8) :1-2.DOI:10.1051/0004-6361/202348367

Data on Machine Learning Reported by Researchers at University of Groningen (Floppity : Enabling Self-consistent Exoplanet Atmospheric Retrievals With Machine Learning)

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Abstract

Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Groningen, Netherlands, by NewsRx journalists, research stated, “Interpreting the observations of exoplanet atmospheres to constrain physical and chemical properties is typically done using Bayesian retrieval techniques. Since these methods require many model computations, a compromise must be made between the model's complexity and its run time.” Funders for this research include Center for Information Technology of the University of Groningen, European Union (EU), Science & Technology Facilities Council (STFC).

Key words

Groningen/Netherlands/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Groningen

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量24
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