New AI Tool , Outperforms Traditional , Forecasting Models.
Researchers say that artificial intelligence could
save lives by helping to alert people about hurricanes
much faster than traditional forecasting methods.
Researchers say that artificial intelligence could
save lives by helping to alert people about hurricanes
much faster than traditional forecasting methods.
BBC reports that a new Google DeepMind tool, GraphCast, predicted that Hurricane Lee would make landfall in Canada three days faster than other forecasts.
Scientists say that AI's ability to quickly
use an analysis of past events to make
accurate predictions is a game-changer.
Scientists say that AI's ability to quickly
use an analysis of past events to make
accurate predictions is a game-changer.
AI-driven alert systems may be able to provide
communities critical time to prepare ahead of extreme
weather events like storms, heat waves and floods. .
AI-driven alert systems may be able to provide
communities critical time to prepare ahead of extreme
weather events like storms, heat waves and floods. .
Hundreds of factors are used to make accurate
weather predictions, including air pressure,
wind speed, temperature and humidity. .
According to a paper published by DeepMind
in the journal 'Science,' GraphCast outperformed
existing models on over 90% of those factors.
BBC reports that GraphCast's approach also produces
forecasts in under a minute while requiring just a fraction of
the computing power used by traditional forecasting methods.
GraphCast uses machine learning to
sort through vast amounts of data in order
to learn how weather patterns could evolve.
GraphCast uses machine learning to
sort through vast amounts of data in order
to learn how weather patterns could evolve.
The main advantage of
this AI approach is that
it's extremely accurate, Remy Lam, Google DeepMind, via BBC.
It learns from decades
of data and is able to be
more accurate than the
industry gold standard, Remy Lam, Google DeepMind, via BBC