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
Reader’s Picks
-
South Africa is pioneering new ways to embed ethical benefit sharing in genomics research through community-led decision-making. Speaking at the [...]
-
Mass shooting incidents and car crashes may seem like two unrelated incidents, but a recent study has uncovered that there [...]
-
Framing environmental risks in terms of how much time is left, rather than a future date, makes them feel more [...]