sciencehabit shares a report from Science Magazine: Modeling immensely complex natural phenomena such as how subatomic particles interact or how atmospheric haze affects climate can take thousands of hours on even the fastest supercomputers. Emulators, algorithms that quickly approximate these detailed simulations, offer a shortcut. Now, work posted online shows how artificial intelligence can produce accurate emulators that can accelerate simulations across all of science by billions of times. The new system automatically creates emulators that work better and faster than those designed and trained by hand. And they could be used to improve the models they mimic and help scientists make the most of their time at experimental facilities.
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