Latest Neural Nets Solve World’s Hardest Equations Faster Than Ever Before
Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.
Hasnain says:
“What’s clear, though, is that both methods will blow past traditional solvers. And for phenomena where there are no established PDEs, learning neural operators may be the only way to model such systems. Consider the problem of traffic flow: Writing a PDE that accurately captures the dynamics of traffic is near impossible. But there’s plenty of data to learn from. “Instead of writing the PDEs, given data, you can use this neural operator to just learn the mapping,” said Azizzadenesheli.”
Posted on 2021-04-20T06:29:42+0000