Ferran Alet
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ferranalet.bsky.social
Ferran Alet
@ferranalet.bsky.social
Research Scientist at Google DeepMind; AI for Science and Sustainability
Prev: PhD @csail.mit.edu
Excited to join a live Q&A tonight with Bryan Norcross to talk about our experimental cyclone model!
LIVE Q&A TODAY at 4 PM ET. I'll be joined by Senior Research Scientist at Google DeepMind Ferran Alet. We'll talk about the new amazing and surprising Google DeepMind AI hurricane model. We'll be LIVE on YouTube, Facebook, TikTok, X, Instagram, and LinkIn. Looking forward to your questions!!
October 2, 2025 at 6:35 PM
Early in the Atlantic season, but FNV3 is doing pretty well so far🎉

Seeing our model analysed and used by experts forecasters like James has been one of the most rewarding parts of the project!
Yesterday I showed Google DeepMind errors for Erin. Thought I'd repeat the analysis for 2025 as a whole, and add the HCCA corrected consensus to the mix. Sample is mainly Erin, of course. GDMI has been impressive so far, especially through 72 h and for intensity. (EMXI not in live NHC FTP data.)
August 26, 2025 at 10:53 PM
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!
June 13, 2025 at 12:27 AM
Beautiful visualizations of optimization in high dimensions & why local minima became less of a concern as networks scaled: www.youtube.com/watch?v=NrO2...
It was interesting to see this realization start in 2014-15, and propagate around the community as theoretical & empirical evidence mounted.
The Misconception that Almost Stopped AI
YouTube video by Welch Labs
www.youtube.com
May 10, 2025 at 12:45 AM
This is an amazing resource to learn about LLMs and how to make them scale in practice!
I read the internal version of it a month ago and it's very insightful, you can feel they put a lot of passion into writing it.
Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n
February 5, 2025 at 5:28 PM
Our GraphCast and GenCast got new names (WeatherNext Graph & WeatherNext Gen) and their real-time predictions are now available on EarthEngine & GraphQuery. Great to see our research advancements being deployed, looking forward to seeing what people do with them!

deepmind.google/technologies...
WeatherNext
WeatherNext is our most advanced weather forecasting AI technology.
deepmind.google
February 1, 2025 at 7:18 AM
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...
January 14, 2025 at 1:44 AM
I'm attending #AMS2025. If you're interested in AI for Weather prediction(particularly GraphCast/GenCast) or in tropical cyclones, send me a DM!
January 12, 2025 at 6:50 PM
The Tackling Climate Change with ML #NeurIPS2024 workshop will be livestreamed for free!

If you're attending in person and want to chat about AI for weather prediction or Science&Sustainability more generally, send me a DM!
Another highlight of our #NeurIPS2024 workshop on Sunday will be a panel discussion on small vs big models in ML for climate impact, featuring Chris Bretherton, Anamika Dubey & Bistra Dilkina.

Stream the whole workshop live & for free via our website: www.climatechange.ai/events/neuri...
December 14, 2024 at 8:44 PM
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!
December 10, 2024 at 7:08 PM