Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has introduced a new method that uses deep learning for creating tailored, accurate simulations that respect physical laws, while also being more computationally efficient.
Making simulations more accurate than ever with deep learning
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