Finally, we're releasing deepmind.google.com/science/weat..., a preview of our AI models. Huge kudos to @tom-andersson.bsky.social who played a key role improving Weather Lab with expert trusted testers since last Fall.

Here's a current cyclone in China, with our model (blue) being more confident.

According to internal evals, reproduced by the Cooperative Institute for Research in the Atmosphere (thanks to @franklinjamesl.bsky.social!), our experimental model excels at both tracks and intensities. We're looking forward to running real-time evals with CIRA & other worldwide partners.

At Google DeepMind, we're announcing a partnership with @nhc-atlantic.extwitter.link for expert forecasters to access our newest experimental model. We hope to enhance their forecasts this cyclone season! Looking forward to working with experts like @pppapin.bsky.social & @ericblake12.bsky.social!

I'll be presenting GenCast, recently published in Nature, tomorrow Tuesday 8h45AM at #AMS2025 in room 339.

GenCast is a diffusion model that outperforms ENS, the top operational ensemble forecast, giving skillful probabilistic forecasts up to 15 days ahead.

ams.confex.com/ams/105ANNUA...

I'm attending #AMS2025. If you're interested in AI for Weather prediction(particularly GraphCast/GenCast) or in tropical cyclones, send me a DM!

Weather is fundamentally chaotic and with finite sensors and computation, forecasts need to be probabilistic past a few days. In GenCast, we used diffusion models to generate an ensemble of realistic future scenarios, showing skill up to 2 weeks into the future!

Excited to share our new Nature paper on probabilistic weather forecasting today @neuripsconf.bsky.social! I'll be presenting at the DeepMind booth 1pm Vancouver time.

I'll be at NeurIPS the whole week. If you're interested in AI for Science and sustainability, feel free to reach out for a chat!