首页|Research from Institut fur Physik der Atmosphare Yields New Findings on Machine Learning (Interpretable Multiscale Machine Learning-Based Parameterizations of C onvection for ICON)
Research from Institut fur Physik der Atmosphare Yields New Findings on Machine Learning (Interpretable Multiscale Machine Learning-Based Parameterizations of C onvection for ICON)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting from the Institut fur Physik der Atmosphare by NewsRx journalists, research stated, "Machine learning (ML)-based parameterizations have been developed for Earth System Models (ESMs) with the go al to better represent subgrid-scale processes or to accelerate computations. ML -based parameterizations within hybrid ESMs have successfully learned subgrid-sc ale processes from short high-resolution simulations." Financial supporters for this research include Horizon 2020 Framework Programme.
Institut fur Physik der AtmosphareBusi nessCyborgsEmerging TechnologiesMachine Learning
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