Going Beyond GO – GenCast weather

GenCast, a Google DeepMind AI tool, offers more accurate 15-day weather forecasts

Demis Hasabis, founder of DEEPMIND, is the 2024 Nobel Prize in Chemistry winner for AlphaFold,
an artificial intelligence for p`redicting and predicting the spatial structure of proteins.
Hasabis developed AlphaGo, a deep learning artificial intelligence that defeated the world champion in the strategy game Go – Baduk.
AlphaFold took the deep learning artificial intelligence engine into another field with AlphaFold and now GenCast for weather forecasting.
GENCAST, is a follow-up development that has already been talked and written about, appears in presentations and strategy workshops that I provide.
Google acquired DEEPMIND a decade ago for ~2.5 billion shekels, continues to develop artificial intelligence tools and engines for additional fields. The
ability demonstrated through their artificial intelligence engines is very impressive.
Looking ahead, anticipating future, this is an impressive development whose capabilities will continue to be demonstrated.
Future weather crisises will challenge the Gencast tool and we will likely hear about further improvements soon.

Artificial intelligence based on deep learning is a fundamental pillar in the development of such tools in various fields.
Weather forecasting has always been a particularly difficult challenge.
For many decades, forecasters have tried to predict with limited success.
Accurate or improved forecasting can help detect extreme events and appropriately protect against them.

Ilan Price, a principal investigator at DeepMind, published an article in Nature about the GenCast artificial intelligence tool they developed.
Accurate forecasting or its improvement can help detect extreme events and appropriately protect against them. This can also have enormous economic significance in reducing damage with appropriate preparation.
Among other things, the software demonstrated the ability to predict hurricane tracks.
The software calculates and produces a forecast in minutes compared to hours with supercomputers using existing methods!
This is a significant leap forward and an incredible scientific achievement.

More information and our previous article here:
The world of GO builds a future – Going beyond GO

Other related links and articles:
The article in Nature
Article in Journal of the Atmospheric Sciences
Article in New York Times
YouTube video about GenCast
Hebrew article in The Marker 9.12.2024
Hebrew article in Geek Times
Article in Haaretz about winning the 2024 Nobel Prize in Chemistry