The machine-learning model takes less than a minute to predict future weather worldwide more precisely than other approaches.calls into question their reliability, he says."
That's saying something because the super-accurate and processing intensive ECMWF takes 12 hours per iteration. But then again, GraphCast was trained on the ECMWF predictions, among others.
The snag:
"In the meantime, problems with machine-learning approaches must be ironed out. Unlike NWP models, researchers cannot fully understand how AIs such as GraphCast work because the decision-making processes happen in AIs black box, says Grover. This
How could they possibly not understand how it works???
https://www.nature.com/articles/d41586-023-03552-y
On Wed, 22 Nov 2023 13:19:55 -0800 (PST), Fred Bloggs <bloggs.fred...@gmail.com> wrote:This calls into question their reliability,” he says."
The machine-learning model takes less than a minute to predict future weather worldwide more precisely than other approaches.
That's saying something because the super-accurate and processing intensive ECMWF takes 12 hours per iteration. But then again, GraphCast was trained on the ECMWF predictions, among others.
The snag:
"In the meantime, problems with machine-learning approaches must be ironed out. Unlike NWP models, researchers cannot fully understand how AIs such as GraphCast work because the decision-making processes happen in AI’s ‘black box’, says Grover.
How could they possibly not understand how it works???
https://www.nature.com/articles/d41586-023-03552-yMy wife is much better than any of the supercomputer models at
predicting if it will rain tomorrow.
Nothing artificial about her!
But no amount of intelligence can predict the future state of a wildly chaotic system.
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