Scientists have developed an advanced wave forecasting system that can run speedy simulations on a Raspberry Pi.
Using deep learning, analysts at IBM Research Ireland, Baylor University, and the University of Notre Dame built a system that far outpaces existing prediction models.
Costly and sluggish traditional platforms require a supercomputer to calculate how tides, winds, and the ocean’s varying depths influence the speed and height of waves. The new deep learning-enhanced framework, however, generates forecasts up to 12,000 percent faster than conventional designs, according to IBM Research member Fearghal O’Donncha, who also tipped “a vastly increased” set of data input.
Diese Geschichte stammt aus der November 2017-Ausgabe von PC Magazine.
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Diese Geschichte stammt aus der November 2017-Ausgabe von PC Magazine.
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