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sites.research.google
| | blog.google
6.4 parsecs away

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| | We're expanding flood forecasting to over 100 countries and making our breakthrough AI model available to researchers and partners.
| | research.google
6.4 parsecs away

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| | deepmind.google
13.3 parsecs away

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| | New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead
| | www.paepper.com
55.6 parsecs away

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| When you have a big data set and a complicated machine learning problem, chances are that training your model takes a couple of days even on a modern GPU. However, it is well-known that the cycle of having a new idea, implementing it and then verifying it should be as quick as possible. This is to ensure that you can efficiently test out new ideas. If you need to wait for a whole week for your training run, this becomes very inefficient.