Google and Harvard University has teamed up for developing an AI which will
be capable of forecasting aftershocks of earthquakes.
We are not safe even if the higher intensity earthquake over , it's aftershocks will terrified us for more than a day.
Yet ,no need to worry because soon earthquake aftershocks prediction will help us move out from this fear.
Using algorithms to analyze a database of earthquakes occuring around the world to predict where aftershocks might happen.
"Aftershock
forecasting in particular is a challenge that's well-suited to machine
learning because there are so many physical phenomena that could
influence aftershock behavior and machine learning is extremely good at
teasing out those relationships," Phoebe DeVries, a post-doctoral
fellow at Harvard University.
Artificial
intelligence system was trained using earthquake data from around the
world, it will predict aftershocks more accurately than the earlier ones
.
But still it's a long way to go for the most efficient aftershock forecasting as the work on AI is not completed yet.
But still it's a long way to go for the most efficient aftershock forecasting as the work on AI is not completed yet.
"It's
not an idea that's totally out there anymore. And while this result is
interesting, I think this is part of a revolution in general about
rebuilding all of science in the artificial intelligence era."said in a
statement by Brendan Meade ,professor of earth and planetary sciences at
Harvard and a co-author on the study .
Earthquake aftershocks are smaller, follow-up quakes that are triggered by the initial starting shock which can roar around an affected area for months, damaging structures. Though , Scientists can predict the size and timing of these aftershocks to some extent, but knowing the location has been challenging.So, through this research of Harvard and Google suggest that AI might be able to do so.
The success of artificial intelligence in this domain is thanks to one of the technology’s main plus point: its ability to uncover previously overlooked patterns in complex datasets..
For a start, the AI model only focuses on aftershocks caused by permanent changes to the ground, known as static stress. But follow-up quakes can also be caused by rumblings in the ground that occur later, known as dynamic stress.
Earthquake aftershocks are smaller, follow-up quakes that are triggered by the initial starting shock which can roar around an affected area for months, damaging structures. Though , Scientists can predict the size and timing of these aftershocks to some extent, but knowing the location has been challenging.So, through this research of Harvard and Google suggest that AI might be able to do so.
The success of artificial intelligence in this domain is thanks to one of the technology’s main plus point: its ability to uncover previously overlooked patterns in complex datasets..
For a start, the AI model only focuses on aftershocks caused by permanent changes to the ground, known as static stress. But follow-up quakes can also be caused by rumblings in the ground that occur later, known as dynamic stress.
“We’re
still a long way from actually being able to forecast [aftershocks] but
I think machine learning has huge potential here.”Phoebe DeVries,one of
the leading researchers on the study told science daily.
These
all researches have proved nothing is impossible and maybe one day
prediction of the big quake could also become possible one day..we just
need to keep experimenting with science.
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