Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
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Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly accelerates the ...
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Fusion plasma prediction gets 1,000x boost with Korea’s new deep learning model

Scientists have developed a deep learning–based approach that boosts plasma prediction on nuclear fusion by 1,000 times. The approach accelerates the computation of a nonlinear Fokker–Planck–Landau ...